Computer Network Security and Cyber Ethics ( PDFDrive ).pdf

Computer Network Security
and Cyber Ethics
FOURTH EDITION

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Computer Network
Security and
Cyber Ethics
FOURTH EDITION
Joseph Migga Kizza
McFarland & Company, Inc., Publishers
Jefferson, North Carolina

ISBN 978-0-7864-9392-0 (softcover : acid free paper) ♾
ISBN 978-1-4766-1560-8 (ebook)
LIBRARY OF CONGRESS CATALOGUING DATA ARE AVAILABLE
BRITISH LIBRARY CATALOGUING DATA ARE AVAILABLE
© 2014 Joseph Migga Kizza. All rights reserved
No part of this book may be reproduced or transmitted in any form
or by any means, electronic or mechanical, including photocopying
or recording, or by any information storage and retrieval system,
without permission in writing from the publisher.
Front cover: Firewall lock on mainboard (© iStock/Thinkstock)
Manufactured in the United States of America
McFarland & Company, Inc., Publishers
Box 611, Jefferson, North Carolina 28640
www.mcfarlandpub.com

Celebrating what is good within us all.
Keep the ﬁre burning!

Acknowledgments
I am very grateful to all colleagues for the ideas, suggestions,
and criticisms they freely gave to me.
I am indebted to my daughters, Josephine and Florence, and
to my dear wife, Omumbejja Immaculate, for her input and sup-
port. She was instrumental in many ways.
Finally, to all those who, in one way or another, contributed
to this project, but whose names do not appear, thanks!
vii

Contents
Acknowledgments vii
Preface 1
1. The Changing Landscape of Cybercrime 3
2. Morality 11
3. Ethics 17
4. Morality, Technology and Value 24
5. Cyberspace Infrastructure 32
6. Anatomy of the Problem 60
7. Enterprise Security 82
8. Information Security Protocols and Best Practices 123
9. Security and Privacy in Online Social Networks 161
10. Security in Mobile Systems 171
11. Security in the Cloud 183
12. Security and Compliance 198
Appendix: Questions for Classroom Use 209
Chapter Notes 215
Bibliography 221
Index 225
ix

Preface
Since the publication of the third edition of this book in 2011, a lot has
changed. Dramatic advances in mobile technology have resulted in the
unprecedented growth of social networks. This fast-changing technology land-
scape has forced me to make considerable changes to the contents of the book
to bring my faithful readers and students of information technology up to
date.
We have updated most of the contents in a good number of chapters,
added chapters with new contents and removed chapters with outdated con-
tent. With all these alterations, additions and removals, we have kept the core
theme of the text the same but brought new light, and new discussion points,
to the table. Although the book has been in production since 2002, when it
was selected as a Choice Outstanding Academic Title, the core theme of the
book has endured. This is a testimony not only to the quality of the book but
also to the persistence and growing relevancy of the issues discussed.
The growing relevancy of the issues in the book have confirmed and solid-
ified my belief over the years that the security of cyberspace, as it evolves and
engulfs all of us, is and will always be based on secure, reliable software and
hardware protocols and best practices and a strong ethical framework for all
its users. If a morally astute and ethically trained user is missing from the equa-
tion, cyberspace will never be secure and, therefore, the information infra-
structure we have come to depend on so much will likewise never be secure.
We focus on these core issues throughout the book.
Because of the central role of this ethical framework, we devote the first
four chapters to morality, ethics, and technology and value. In these, we
demonstrate the central role of morality and ethics in the decision-making
process of an information professional, and indeed all humans handling infor-
mation technology. We also discuss in depth the value that technology adds
and the role it plays in our deliberations before we make decisions. We ponder
the question of whether technology makes decisions for us or whether we
depend on and use it to make wise decisions of our own.
1

In all, the security of information in general and of computer networks
in particular, on which our national critical infrastructure and, indeed, our
lives is increasingly depending, is based squarely on the individuals who build
the hardware and design and develop the software that run the networks that
store our vital information.
To address security issues in the rapidly changing technology and in the
growing ecosystem of online social networks, we have added two new chapters,
“Security in Mobile Systems” and “Security in the Cloud.” To continue the
discussion of the ever-changing nature of security protocols and best practices,
we have reworked and kept Chapter 8 as “Information Security Protocols and
Best Practices.” The last chapter has been updated and renamed “Security and
Compliance” to update the debate in the changing business information secu-
rity landscape.
Although we seem to be making efforts toward mitigating computer secu-
rity incidents, the progress we are achieving seems insignificant. Indeed, data
from incident reporting centers shows no let-up in activity from the time of
this book’s first edition to today. In fact, data shows that digital crime incidents
are mutating, unrelenting, always on the rise, which begs the question—are
we doing the right thing?
Maybe not. After more than 10 years of efforts to rein in the growing
and indeed mutating information infrastructure security problems, we still do
not seem to be doing the right thing. Maybe we need to change course. The
rise in such incidents has been and still is an indication of the poor state of
our cyberspace infrastructure security policies and the vulnerability of all
cyberspace resources. We have been pointing out over the years that we are yet
not doing enough. Toward this end, several private and public initiatives and
partnerships have been have been established and are discussed throughout
the book.
Finally, as has been the case in the last three editions, we are still keeping
the fire burning, for public awareness of the magnitude of cyber security and
cybercrimes, the weaknesses and loopholes inherent in the cyberspace infra-
structure, and the ways to protect ourselves and our society. We also must have
more debate on the need for a strong ethical framework as a way to safeguard
cyberspace.
2 Preface

Chapter 1
The Changing
Landscape of Cybercrime
LEARNING OBJECTIVES:
After reading this chapter, the reader should be able to:
• Describe trends in computer crimes and protection against viruses and
other cybercrimes.
• Discuss the history of computer crimes.
• Describe several different cyber-attacker approaches and motivations.
• Identify the professional’s role in security and the tradeoffs involved.
In the last two decades, we have witnessed the rapid growth of the Inter-
net, mobile technology and the correspondingly rapid growth of online crimes,
or cybercrimes. With this growth, there has been a spike in the rate of cyber-
crimes committed over the Internet. This has resulted into some people con-
demning the Internet and partner technologies as responsible for creating new
crimes and the root causes of these crimes. However, there is hardly any new
crime resulting from these new technologies. What has changed, as a result of
these new technologies, is the enabling environment. Technology is helping
in the initiation and propagation of most known crimes. As we get rapid
changes in technological advances, we are correspondingly witnessing waves
of cybercrimes evolving. Figure 1.1 shows the changing nature of the cyber-
crime landscape since 1980.
The period before 1980 was an experimental period. Then, the Internet
was new and required sophisticated and specialized knowledge that very few
people back then had. There was very little valuable information and data stored
in online databases as there is today, and there were no free online hacking tools
available. If one wanted to hack, one had to develop the tools to do the job—
a daunting task that required expertise. The easiest way to do it was to join hack-
ing groups. Ganglike groups like the Legions of Doom, the Chaos Computer
3

Club, NuPrometheus League, and the Atlanta Three were formed. Most of
these groups were led by notorious individuals like Kevin Mitnick (“The Con-
dor”), Ian Murphy (“Captain Zap”), and Patrick K. Kroupa (“Lord Digital”).
At the tail end of the 1980s, computers had become smaller. The personal
computer (PC) had been introduced and was becoming very successful. Busi-
nesses were buying these computers at a rapid pace. Schools of varying stan-
dards were opening up and filling with students interested in becoming
computer programmers. More computers started getting into the hands of
young people through their schools, libraries, and homes as it was becoming
more and more possible for affluent families to afford a home PC. Curious
young people got involved with the new tools in large numbers. As their num-
bers rose, so did cybercrimes.
A profile of a cyber criminal soon emerged—a privately schooled, sub-
urban, highly intelligent, soccer-playing but lonely wolf in thrill-seeking
escapades that would lead to bragging rights. We called them computer whiz
kids. Their operations were more or less predictable and, with exception of a
few cases, there was a complete lack of organizational structure, something
that is significantly noticeable in later generations of attacks. These whiz kids
led the second generation of cybercrimes.
The second generation of cybercrimes probably started at the tail end of
the first generation, around 1990, and lasted through 2000. This period was
characterized by serious, often devastating, and widespread virus attacks on
4 Computer Network Security and Cyber Ethics
Figure 1.1 The Changing Nature of Cybercrimes

global computer networks. This period saw an unprecedented growth in com-
puter networks around the globe. These interconnected and interdependent
networks became a very good conduit for these virus attacks. As the world
became a mesh of thousands of interdependent computer networks, more
individuals, businesses, organizations, and nations became more dependent
on them. Because of this high dependence, which continues, the mere mention
of a virus attack, whether real or not, caused panic in company boardrooms,
classrooms, and family living rooms.
The sources of these attacks (mostly viruses) were often the whiz kids of
the 1980s. The period experienced monstrous attacks including “Melissa,”
“The Goodtimes,” “Distributed Denial of Service,” “Love Bug,” and “Code
Red,” to name a few. The inputs fuelling the rise and destructive power of the
attacks were the large volume of free hacker tools available on the Internet,
the widespread use of computers in homes, organizations and businesses, large
numbers of young people growing up with computers in their bedrooms, the
growing interest in computers, the anonymity of users of the Internet, and the
ever-growing dependence on computers and computer networks. All these
put together contributed to the wild, wild cyberspace of the 1990s.
The third generation of cybercrimes began around the turn of the century.
As the Computer Science Institute and Federal Bureau of Investigation’s (CSI/
FBI) 2005 survey results indicate, virus attacks continued as the source of the
greatest financial losses. Closely behind viruses were unauthorized access,
which showed a dramatic cost increase and replaced denial of service as the sec-
ond most significant contributor to computer crime losses during that period,
unauthorized use of computer systems, and Web site incidents in that order.1
Overall, the period saw a gradual move away from the huge devastating
virus attacks released by lonely wolves who expected no reward beyond proof
of their prowess and the corresponding infamous notoriety. This period was,
so far, characterized by small, less powerful, sometimes specialized but selective
and targeted attacks. The targets were preselected to maximize personal gains,
usually financial. Attacks so far in this period were overwhelmingly targeted
at financial institutions. The list of victims was long and included the following
examples:
• In February 2005, Bank of America Corp. reported computer tapes
containing credit card records of U.S. senators and more than a million
U.S. government employees went missing, putting customers at
increased risk of identity theft.
• In February 2005, ChoicePoint Inc., a Georgia-based credit reporting
company, had a breach of its computer databases, rendering nearly
145,000 people vulnerable to identity theft.
1—The Changing Landscape of Cybercrime 5

• In April 2005, data wholesaler LexisNexis, a division of Reed Elsevier,
admitted having personal information from about 310,000 customers
stolen.
Because of strict reporting laws in California, more and more companies
and institutions were reporting losses of personal accounts. Among the compa-
nies and institutions were PayMaxx, health care heavyweight San Jose Medical
Group, California State University at Chico, Boston College, and the Univer-
sity of California at Berkeley.2
These made headlines, but many more did not.
A decade later since the beginning of the thrird generation, around 2010,
probably the fourth generation started. This was driven by a dramatic change
in communication technologies and the nature of the information infras-
tructure. First, there is a fast rate of convergence of computing and telecom-
munication coming a lot earlier than has been predicted. Second, there is a
developing trend in computing and communication devices’ miniaturization,
leading us faster to the long-awaited and often talked-about ubiquitous com-
puting driven by faster, more powerful machines and with a rich application
repertoire that makes the technology of a decade earlier look prehistoric. The
result of these combined forces are the exceptionally fast growing infrastruc-
ture of social networks that are leading us into a new unplanned, unpredictable,
and more threatening computing environment. This changing nature of infor-
mation technology against the changing background of user demographics is
creating a dynamic mosaic of security threats and problems. Plenty of IT
administrators are tossing and turning at night over the security risks that may
threaten their servers, networks and client computers. According to the 2010
survey of 353 network administrators conducted by Amplitude Research on
behalf of VanDyk Software (2010) and the Australian Cyber Crime and Secu-
rity Survey Report 2012,3
historically and traditionally leading threats are no
longer in the lead as indicated in Tables 1.1 and 1.2. Most traditional cyber-
crimes witnessed in the previous two generations are in decline. This can be
attributed to the continuously changing landscape of cybercrimes.
Currently there are two major trends in this generation of cyber attacks.
First, the cyber criminals are organizing themselves more into criminal enter-
prise cartels, and two, we are seeing more state-sponsored hacking activities
than ever before. This seems to be a more troubling trend. New threats, accord-
ing to the U.S. Department of Homeland Security’s ICS-CERT, include4
:
• National governments—where we see government-sponsored pro-
grams developing capabilities with the future prospect of causing wide-
spread, long-duration damage to critical national infrastructures of
adversarial nations.

Table 1.1 Changing System Threat Landscape, 2010
Threat Management Technique Percentage of Admins Who Identified
Securing remote access 52
Keeping virus definitions up to date 44
Patching systems 36
Monitoring intrusions 33
Secure file transfer 30
Network use monitoring 28
User awareness 26
Password management 16
Managing logs 11
Replacing non-secure protocols 11
Data Source: http://www.channelinsider.com/c/a/Security/10-Security-Risks-That-Keep-Custom-
ers-Up-at-Night–893339/
Table 1.2 Change in Types of Attack and Misuse, 1999–2012
Type of attack (yr/perc.) (yr/perc.) (yr/perc.) (Down/Up)
Inside abuse of info
access 1999/99 2005/50 2012/55 Down
Virus 2000/95 2005/75 2012/30 Down
Theft of computing
devices 1999/70 2005/50 2012/33 Down
Unauthorized access 2000/70 2005/35 2012/18 Down
Denial of service 2002/40 2005/35 2012/15 Down
System penetration 2002/40 2005/18 2012/ 9 Down
Theft of proprietary
info 2001/30 2005/10 2012/34 Up
Telecom fraud 1999/18 2005/10 2012/ 4 Down
Financial fraud 2003/18 2005/ 4 2012/ 9 Down
Sabotage/degradation
of networks 2003/20 2005/ 2 2012/ 9 Up
Abuse of wireless net-
work 2005/18 2003/ 0 2012/18 Up
Web site defacement 2004/ 5 2005/ 3 2012/ 6 Down
Trajon/Rootkit N/A N/A 2012/20 Up
None of the above N/A N/A 2012/35 not enough info
Data Source: (1) CSI/FBI Computer Crime and Security Survey—http://i.cmpnet.com/gocsi/db_
area/pdfs/fbi/FBI2005.pdf. (2) CYBER CRIME & SECURITY SURVEY REPORT 2012, http:
//www.canberra.edu.au/cis/storage/Cyber%20Crime%20and%20Security%20Survey%20Report%
202012.pdf.
• Terrorists—where terrorists are starting to acquire skill to direct cyber
threats to individuals and increasingly critical national infrastructures.

• Industrial spies and organized crime groups—with profit motivation,
international corporate spies and organized crime organizations are
slowly mounting cyber threats to individuals and critical national
infrastructures.
• Hacktivism—an old type of cybercrime that has not abetted with
changes in technology. In fact, hacktists have been presented, thanks
to new technologies, with new ways of increasing their political
activism. This legion of hackers includes individuals and groups.
• Hackers—like hactivists, are also as old as computer crimes themselves.
Efforts to Combat and Curtail Old and New
Cybercrimes
Against this background, efforts need to be and are being taken to protect
online data and information. Throughout this book, we are going to look at
methods, tools and best practices to combat these increasing and evolving
crimes. We summarize below, but we will detail in the coming chapters the
global efforts by governments, civil society and individuals that include:
• Security awareness. Data from PricewaterhouseCoopers (PwC)’s Breaches
Survey (ISBS) report (2012) shows that an organization with a quality end-
user security awareness program is less likely to suffer a security breach.5
The
report further shows that security awareness through enterprise security poli-
cies is very effective. For example, data in the report show that organizations
with a clearly understood security policy are less likely to be breached.
• Formation of public-private partnerships. Public private partnerships
are going to bear good results. Some of these partnerships include:
0 The United Kingdom’s Cyber Crime Reduction Partnership (CCRP).
This effort is to provide a forum in which government, law enforcement,
industry and academia can regularly come together to tackle cybercrime
more than before.6
During National Cyber Security Awareness Month
2012, the U.S. Department of Homeland Security (DHS) and its partners
from the public and private sector highlighted the importance of pro-
tecting against cybercrime.7
0 DHS collaborates with financial and other critical infrastructure sectors
to improve network security. Additionally, DHS components, such as
the U.S. Secret Service and U.S. Immigrations and Customs Enforcement
(ICE), have special divisions dedicated to fighting cybercrime.
0 The FBI has the following cybercrime partnerships and initiatives8
:
■ National Cyber Investigative Joint Task Force—as the focal point for

all U.S. government agencies to coordinate, integrate, and share infor-
mation related to all domestic cyber threat investigations.
■ Cyber Task Forces (CTF)—a group of all key law enforcement agencies
in all 56 field offices at the state and local levels.
■ InfraGard: Protecting Infrastructure—an information sharing and
analysis effort serving the interests and combining the knowledge base
of a wide range of members. At its most basic level, InfraGard is a part-
nership between the FBI and the private sector.
■ National Cyber-Forensics & Training Alliance—an early-warning sys-
tem based on the exchange of strategic and threat among members.
■ Strategic Alliance Cyber Crime Working Group—a global alliance of
law enforcement community sharing and steadily building operational
partnerships for joint investigations of cybercrimes.
■ Cyber Action Teams—small but highly trained teams of FBI agents,
analysts, and computer forensics and malicious code experts who travel
around the world on a moment’s notice to respond to cyber intru-
sions.
• Setting up publicly funded agencies to go after cyber criminals. Represen-
tative examples include:
0 The Secret Service maintains Electronic Crimes Task Forces (ECTFs),
which focus on identifying and locating international cyber criminals
connected to cyber intrusions, bank fraud, data breaches, and other
computer-related crimes. The Secret Service’s Cyber Intelligence Section
has directly contributed to the arrest of transnational cyber criminals
responsible for the theft of hundreds of millions of credit card numbers
and the loss of approximately $600 million to financial and retail insti-
tutions. The Secret Service also runs the National Computer Forensic
Institute, which provides law enforcement officers, prosecutors, and
judges with cyber training and information to combat cybercrime.
0 ICE’s Cyber Crimes Center (C3) works to prevent cybercrime and solve
cyber incidents. From the C3 Cyber Crime Section, ICE identifies
sources for fraudulent identity and immigration documents on the Inter-
net. C3’s Child Exploitation Section investigates large-scale producers
and distributors of child pornography, as well as individuals who travel
abroad for the purpose of engaging in sex with minors.
• Security Information Sharing Partnership (CSISP) with long-term plans
to establish a National Computer Emergency Response Team (CERT).
These CERT teams are now in several countries including the United States,
Australia, the United Kingdom and others.
• In addition to sustained awareness programs, legislation is also beginning
to pay off. In the CSI Computer Crime and Security Survey 2009, in which

responses were from 443 information security and information technology
professionals in United States corporations, government agencies, ﬁnancial
institutions, educational institutions, medical institutions and other organ-
izations, respondents generally said that regulatory compliance efforts have
had a positive effect on their organization’s security programs.
• You and I. Cybersecurity is a shared responsibility, and each of us has a role
to play in making it safer, more secure and resilient.
Although investment in public awareness, especially through moral and
ethical education, is long-term, these are encouraging signs that there might
be light at the end of the tunnel if we intensify our training programs. So, we
need to concurrently educate the user as well as develop security tools and
best practices as we look for the essential solutions to the ills of cyberspace.
We focus on them in the rest of the book and we begin by looking at morality
and ethics.

Chapter 2
Morality
• Understand how to make sound moral reasoning.
• Discuss moral values and ideals in a person’s life.
• Understand the relationship between morality and religion.
• Understand what it means to have moral principles, the nature of con-
science, and the relationship between morality and self-interest.
Human beings do not live randomly. We follow a complex script, a life
script, a script based on cultural, religious, and philosophical concepts and
beliefs. Using the guidelines in that script, individuals then determine whether
their actions are right or wrong. The concepts and beliefs making up the guide-
lines are formulated, generalized, and codiﬁed by individual cultures or groups
over long periods of time. The main purpose of such guidelines is to regulate
the behavior of the members of that culture or group to create happiness for
all members of the culture or group. We deﬁne the concept of morality as the
conformity to such guidelines.
Morality
Morality is a set of rules of right conduct, a system used to modify and
regulate our behavior. It is a quality system by which we judge human acts
right or wrong, good or bad. This system creates moral persons who possess
virtues like love for others, compassion, and a desire for justice; thus, it builds
character traits in people. Morality is a lived set of shared rules, principles,
and duties, independent from religion which is practiced, applicable to all in
a group or society, and having no reference to the will or power of any one
11

individual whatever his or her status in that group or society. Every time we
interact in a society or group, we act the moral subscript. Because morality is
territorial and culturally based, as long as we live in a society, we are bound to
live the society’s moral script. The actions of individuals in a society only have
moral values if taken within the context of this very society and the culture
of the individual.
Although moral values are generally lived and shared values in a society,
the degree of living and sharing of these values varies greatly. We may agree
more on values like truth, justice, and loyalty than on others. A number of fac-
tors influence the context of morality, including time and place.
Moral Theories
If morality is a set of shared values among people in a specific society,
why do we have to worry about justifying those values to people who are not
members of that society? To justify an action or a principle requires showing
good reason for its existence and why there are no better alternatives. Justifying
morality is not a simple thing since morality, by its own definition, is not
simply justifiable especially to an outsider. Moral reasons require more justi-
fication than social reasons because moral reasons are much stronger than aes-
thetic ones; for example, murder is not immoral just because most people find
it revolting; it is much more than that. To justify more reasons, therefore, we
need something strong and plausible to anchor our reasoning on. That some-
thing cannot be religion, for example, because one’s religion is not everyone’s
religion. We need something that demonstrates that the balance of good in
an action is favorable to other people, not only to one’s interests and desires.
Moral theories do satisfy this purpose. According to Chris MacDonald, moral
theories “seek to introduce a degree of rationality and rigor into our moral
deliberations.”1
They give our deliberations plausibility and help us better
understand those values and the contradictions therein. Because many philoso-
phers and others use the words moral and ethical synonymously, we delay the
discussion of moral theories until we discuss ethics.
Moral Codes
For one to be morally good, one must practice the qualities of being good.
To live these qualities, one must practice and live within the guidelines of these
qualities. These guidelines are moral codes. The Internet Encyclopedia of Phi-
losophy defines moral codes as rules or norms within a group for what is proper

behavior for the members of that group.2
The norm itself is a rule, standard,
or measure for us to compare something else whose qualities we doubt. In a
way, moral codes are shared behavioral patterns of a group. These patterns
have been with us since the ﬁrst human beings inhabited the Earth and have
evolved mainly for survival of the group or society. Societies and cultures sur-
vive and thrive because of the moral code they observe. Societies and cultures
throughout history like the once mighty Babylonians, Romans, and Byzantines
probably failed because their codes failed to cope with the changing times.
We have established that morality and cultures are different in different
societies. This does not, however, exclude the existence of the commonality
of humanity with timeless moral code. These codes are many and they come
in different forms including:
• The Golden Rule: “Do unto others as you would have them do unto
you.”
• The Bronze Rule: “Repay kindness with kindness.” This rule is widely
observed because of its many varying interpretations.
There is a commonality of good in these rules which equate to Carl
Sagan’s culture-free and timeless universal set of moral codes3
:
• Be friendly at ﬁrst meeting.
• Do not envy.
• Be generous; forgive your enemy if he or she forgives you.
• Be neither a tyrant nor a patsy.
• Retaliate proportionately to an intentional injury (within the con-
straints of the rule of the law).
• Make your behavior fairly (although not perfectly) clear and consis-
tent.
The purpose of moral codes in a society is to exert control over the actions
of the society’s members that result from emotions. Observance of moral codes
in most societies is almost involuntary mostly because members of such soci-
eties grow up with these codes so they tend to follow them religiously without
question. In some societies, observance is enforced through superstition, and
in others through folklore and custom.
The Need for a Moral Code
When you ask people what kind of life they like most, the most popular
answer is always going to be a life full of freedoms. They want to be free. Dem-
ocratic societies always claim to be free. The citizens have freedom. When you
2—Morality 13

ask anyone what they mean by freedom, they will say that freedom is doing
what they want to do, when they want to do it, and in the way that they want
to do it. What they are actually talking about is a life without restraints.
But can we live in a society where an individual can do anything that he
or she wants? Popular culture dictates this kind of freedom. One would there-
fore say that in a world or society like this, where everyone enjoys full freedoms,
there would be anarchy. Well, not so. God created humans, probably the only
creatures on earth who can reason. God endowed us with the capacity to rea-
son, to create guidelines for life so that everyone can enjoy freedom with rea-
son. Freedom with reason is the bedrock of morality. True, morality cannot
exist without freedom. Because humans have the capacity to reason, they can
attain the freedom they want by keeping a moral code. The moral code, there-
fore, is essential for humanity to attain and keep the freedoms humans need.
By neglecting the moral code in search of more freedoms, human beings can
lose the essential freedoms they need to live. Lee Bohannon calls it a moral
paradox: by wrongly using your freedom, you lose your freedom.4
Humanity
must realize the need for freedom within reasonable restraints—with the moral
code, because without the code, absolute freedoms result in no freedom at all.
Moral Standards
A moral standard is a moral norm, a standard to which we compare
human actions to determine their goodness or badness. This standard guides
and enforces policy. Morality is a system that, in addition to setting standards
of virtuous conduct for people, also consists of mechanisms to self-regulate
through enforcement of the moral code and to self-judge through guilt, which
is an internal discomfort resulting from disappointment self-mediated by con-
science.
Guilt and Conscience
Moral guilt is a result of self-judging and punishing oneself for not living
up to the moral standards set for oneself or for the group. If individuals judge
that they have not done “good” according to moral standards, they activate
the guilt response, which usually makes them feel bad, hide their actions from
both self and others, and ﬁnd a ﬁtting punishment for themselves, sometimes
a very severe punishment. This internal judgment system is brought about
because human beings have no sure way of telling whether an action is good
or bad based independently on their own standards. Individual standards are

usually judged based on group standards. So individuals judge themselves
based on group standards, and self-judgment sets in whenever one’s actions
fall short of the group’s standards.
The problem with guilt is that it can be cumulative. If individuals commit
acts repeatedly that they judge to be below moral standards, they tend to
become more and more withdrawn. This isolation often leads individuals to
become more comfortable with the guilt. As they become comfortable living
with the guilt, their previous actions, which were previously judged below
standards, begin to look not so bad after all. Individuals become more and
more complacent about the guilt and begin to look at the whole moral system
as amoral.
Guilt can be eased by encouraging people to focus on the intentions
behind the actions. Sometimes the intentions may be good but the resulting
action is bad. In such a case the individual should not feel so guilty about the
action. Besides looking for intent, one should also have the will and ability to
forgive oneself. Self-forgiveness limits the cumulative nature of guilt and hence
helps an individual to keep within the group.
Our moral code, and many times the law, lay out the general principles
that we ought not do because it is wrong to do it. The law also tells us not to
do this or that because it is illegal to do so. However, both systems do not spe-
cifically tell us whether a particular human action is an immoral or illegal act.
The link must be made by the individual—a self-realization. It is this inner
judgment that tells us if the act just committed is right or wrong, lawful or
unlawful. This inner judgment is what we call conscience. Additionally, con-
science is the capacity and ability to judge our actions ourselves based on what
we set as our moral standards. The word conscience comes from the Latin word
conscientia which means knowing with. It is an “inner voice” telling us what to
do or not to do. This kind of self-judgment is based on the responsibility and
control we have over our actions. Conscience is motivated by good feelings
within us such as pride, compassion, empathy, love, and personal identification.
Conscience evolves as individuals grow. The childhood conscience is far dif-
ferent from the adult conscience because the perception of evil evolves with
age. The benefits of conscience are that the actions taken with good conscience,
even if the results are bad, do not make one guilty of the actions.
Fr. Austin Fagothey5
writes that conscience applies to three things:
(i) the intellect as a faculty of forming judgments about right and wrong
individual acts,
(ii) the process of reasoning that the intellect goes through to reach such
judgment, and
(iii) the judgment itself which is the conclusion of this reasoning process.
2—Morality 15

We have seen in this section that morality does not belong to any indi-
vidual, nor does it belong to any society or group of people. Thus, it cannot
be localized. However, those parts of the moral code that can be localized
become law.
The Purpose of Morality—The Good Life
According to Michael Miller, the ancients identiﬁed the purpose of
morality with the chief good. Because morality is territorial, whatever chief
good they proposed—happiness for Aristotle, no pain for Epicurus, apathy
for the Stoics, heavenly afterlife for Christians—they took that chief good to
be the moral purpose.6
In general, the chief good is not to suffer and die, but
to enjoy and live.

Chapter 3
Ethics
• Analyze an argument to identify premises and conclusion using ethical the-
ories.
• Understand the use of ethical theories in ethical arguments.
• Detect basic logical fallacies in an argument.
• Articulate the ethical tradeoffs in a technical decision.
• Understand the role of professional codes of ethics.
“The unexamined life is not worth living.” This is a statement made by
Socrates before the Athenian court. The jury gave him a death sentence for
his menacing practice of going around Athens asking its citizens the ultimate
questions of human existence.1
Socrates agreed to drink hemlock and kill him-
self for his belief in a science that represents a rational inquiry into the meaning
of life. Socrates’s pursuit was a result of the Greeks’ curiosity and their desire
to learn about themselves, human life and society. This led to the examination
of all human life, to which Socrates devoted his life. Philosophers call this
ethics. Ethics is, therefore, the study of right and wrong in human conduct.
Ethics can also be defined as a theoretical examination of morality or “theory
of morals.” Other philosophers have defined ethics in a variety of ways.
Robert C. Solomon, in Morality and the Good Life,2
defines ethics as a set
of “theories of value, virtue, or of right (valuable) action.” O.J. Johnson, on the
other hand, defines ethics as a set of theories “that provide general rules or
principles to be used in making moral decisions and, unlike ordinary intuitions,
provides a justification for those rules.”3
The word ethics comes from the ancient
Greek word eché,4
which means character. Every human society practices ethics
in some way because every society attaches a value on a continuum of good to
bad, right to wrong, to an individual’s actions according to where that indi-
vidual’s actions fall within the domain of that society’s rules and canons.
17

The role of ethics is to help societies distinguish between right and wrong
and to give each society a basis for justifying the judgment of human actions.
Ethics is, therefore, a field of inquiry whose subject is human actions, collec-
tively called human conduct, that are taken consciously, willfully, and for which
one can be held responsible. According to Fr. Austin Fagothey,5
such acts must
have knowledge, which signifies the presence of a motive, be voluntary, and
have freedom to signify the presence of free choice to act or not to act.
The purpose of ethics is to interpret human conduct, acknowledging and
distinguishing between right and wrong. The interpretation is based on a sys-
tem which uses a mixture of induction and deduction. In most cases, these
arguments are based on historical schools of thought called ethical theories.
There are many different kinds of ethical theories, and within each theory
there may be different versions of that theory. Let us discuss these next.
Ethical Theories
Since the dawn of humanity, human actions have been judged good or
bad, right or wrong based on theories or systems of justice developed, tested,
revised, and debated by philosophers and elders in each society. Such theories
are commonly known as ethical theories. An ethical theory determines if an
action or set of actions is morally right or wrong. Codes of ethics have been
drawn up based on these ethical theories. The processes of reasoning, expla-
nation, and justification used in ethics are based on these theories. Ethical the-
ories fall into two categories: those based on one choosing his or her action
based on the expected maximum value or values as a consequence of the action
and those based on one choosing his or her action based on one’s obligation
or requirements of duty. The Greeks called the first category of theories telos,
meaning purpose or aim. We now call these teleological or consequentialist the-
ories. The Greeks called the second category of theories deon, meaning binding
or necessary. Today, we call them deontological theories.6
Consequentialist Theories
We think of the right action as that which produces good consequences.
If an act produces good consequences, then it is the right thing to do. Those
who subscribe to this position are called consequentialists. Consequentialist
theories judge human actions as good or bad, right or wrong, based on the
best attainable results of such actions—a desirable result denotes a good action,
and vice versa. According to Richard T. Hull, consequentialist theories “have
three parts: a theory of value, a principle of utility, and a decision procedure.”7

Within these are further theories. For example, in the theory of value there
are several other theories held by consequentialists including8
:
• Hedonism, which equates good with pleasure, bad or evil with pain.
• Eudamonism, which equates good with happiness, bad or evil with
unhappiness.
• Agathism, which views good as an indefinable, intrinsic feature of var-
ious situations and states. Evil is seen as either an indefinable, intrinsic
feature of other situations and states, or simply as the absence of good.
• Agapeism, which equates good with live, bad with hate.
• Values pluralism, which holds that there are many kinds of good,
including pleasure and happiness, but also knowledge, friendship, love,
and so forth. These may or may not be viewed as differing in impor-
tance or priority.
There are three commonly discussed types of consequentialist theory9
:
(i) Egoism puts an individual’s interests and happiness above everything
else. With egoism, any action is good as long as it maximizes an indi-
vidual’s overall happiness. There are two kinds of egoism: ethical ego-
ism, which states how people ought to behave as they pursue their own
interests, and psychological egoism, which describes how people actu-
ally behave.
(ii) Utilitarianism, unlike egoism, puts a group’s interest and happiness
above those of an individual, for the good of many. Thus, an action is
good if it benefits the maximum number of people. Among the forms
of utilitarianism are the following:
• Act utilitarianism tells one to consider seriously the consequences
of all actions before choosing that with the best overall advantage,
happiness in this case, for the maximum number of people.10
• Rule utilitarianism tells one to obey those rules that bring the max-
imum happiness to the greatest number of people. Rule utilitarian-
ism maintains that a behavioral code or rule is good if the
consequences of adopting that rule are favorable to the greatest
number of people.1
1
(iii) Altruism states that an action is right if the consequences of that action
are favorable to all except the actor.
Deontological Theories
The theory of deontological reason does not concern itself with the con-
sequences of the action but rather with the will of the action. An action is
3—Ethics 19

good or bad depending on the will inherent in it. According to deontological
theory, an act is considered good if the individual committing it had a good
reason to do so. This theory has a duty attached to it. For example, we know
that killing is bad, but if an armed intruder enters your house and you kill
him, your action is good, according to deontologists. You did it because you
had a duty to protect your family and property. Deontologists fall into two
categories: act deontologists and rule deontologists.
• Act deontologists consider every judgment of moral obligation to be
based on its own merit. We decide separately in each particular situ-
ation what is the right thing to do.
• Rule deontologists consider that one’s duty in any situation is to act
within rules.
All other contemporary ethical theories, as Richard T. Hull contends, are
hybrids of utilitarianist and deontologist theories.
The process of ethical reasoning takes several steps, which we refer to as
layers of reasoning, before one can justify to someone else the goodness or bad-
ness, rightness or wrongness of one’s action. For example, if someone wants
to convince you to own a concealed gun, he or she needs to explain to you
why it is good to have a concealed gun. In such an exercise, the person may
start by explaining to you that we are living in difficult times and that no one
is safe. You may then ask why no one is safe, to which the person might reply
that there are many bad people out there in possession of high-powered guns
waiting to fire them for various and very often unbelievable reasons. So owning
a gun will level the playing field. Then you may ask why owning a gun levels
the playing field, to which the answer would be that if the bad guys suspect
that you own a gun just like theirs, they will think twice before attacking you.
You may further ask why this is so; the answer may be that if they attack you,
they themselves can get killed in the action. Therefore, because of this fear,
you are not likely to be attacked. Hence, owning a gun may save your life and
enable you to continue pursuing the ultimate concept of the good life: hap-
piness.
On the other hand, to convince somebody not to own a concealed gun
also needs a plausible explanation and several layers of reasoning to demon-
strate why owning a gun is bad. Why is it a bad thing, you would ask, and the
answer would be because bad guys will always get guns. And if they do, the
possibility of everyone having a concealed gun may make those bad guys
trigger-happy to get you fast before you get them. It also evokes an imageof
the Wild West filled with gun-toting people daring everyone in order to get
a kick out of what may be a boring life. You would then ask why is this situation

dangerous if no one fires? The reply might be because it creates a situation in
which innocent people may get hurt, denying them happiness and the good
life. The explanation and reasoning process can go on and on for several more
layers before one is convinced that owning a gun is good or bad. The act of
owning a gun is a human act that can be judged as either good or bad, right
or wrong depending on the moral and ethical principles used.
The spectrum of human actions on which ethical judgments can be based
is wide-ranging, from simple, traditional and easy to understand actions like
killing and stealing, to complex and abstract ones like hacking, cellular tele-
phone scanning, and subliminal human brain alterations. On one side of this
spectrum, the inputs have straight output value judgments of right and wrong
or good and evil. The other end of the spectrum, however, has inputs that can-
not be easily mapped into the same output value judgments of right and wrong
or good and evil. It is on this side of the input spectrum that most new human
actions, created as a result of computer technology, are found. It is at this end,
therefore, that we need an updated definition of ethics—a functional defini-
tion.
Codes of Ethics
The main domains in which ethics is defined are governed by a particular
and definitive regiment of guidelines and rules of thumb called codes of ethics.
These rules, guidelines, canons, advisories, or whatever you want to call them,
are usually followed by members of the respective domains. For example, your
family has an ethical set of rules that every member of the family must observe.
Your school has a set of conduct rules that all students, staff and faculty must
observe. And, your college has a set of rules that govern the use of college com-
puters. So depending on the domain, ethical codes can take any of the following
forms:
• principles, which may act as guidelines, references, or bases for some
document;
• public policies, which may include aspects of acceptable behavior,
norms, and practices of a society or group;
• codes of conduct, which may include ethical principles; and
• legal instruments, which enforce good conduct through courts.
Although the use of ethical codes is still limited to professions and high
visibility institutions and businesses, there is a growing movement toward
widespread use. The wording, content, and target of codes can differ greatly.
3—Ethics 21

Some codes are written purposely for the public, others target employees, and
yet others are for professionals only. The reader is referred to the codes of the
Association of Computing Machinery (ACM) and the Institute of Electric
and Electronics Engineers’ Computer Society (IEEE Computer), both pro-
fessional organizations. Codes for the ACM can be found at and those for
IEEE Computer at www.ieee.org.
Objectives of Codes of Ethics
Different domains and groups of people formulate different codes of
ethics, but they all have the following objectives:
• Disciplinary: By instilling discipline, the group or profession ensures
professionalism and integrity of its members.
• Advisory: Codes are usually a good source of tips for members, offering
advice and guidance in areas where moral issues are fuzzy.
• Educational: Ethical codes are good educational tools for members of
the domain, especially new members who have to learn the dos and
don’ts of the profession. The codes are also a good resource for existing
members needing to refresh and polish their possibly waning morals.
• Inspirational: Besides being disciplinary, advisory, and educational,
codes should also carry subliminal messages to those using them to
inspire them to be good.
• Publicity: One way for professions to create a good clientele is to show
that they have a strong code of ethics and, therefore, their members
are committed to basic values and are responsible.
The Relevancy of Ethics to Modern Life
When Socrates made the statement, “the unexamined life is not worth
living” before the Athens court in 399 BC, human life was the same as it is
today in almost every aspect except quality. Not much has changed in the
essence of life since Socrates’s time and now. We still struggle for the meaning
of life, we work to improve the quality of life and we do not rest unless we
have love, justice and happiness for all. Socrates spent time questioning the
people of Athens so that they, together with him, could examine their indi-
vidual lives to ﬁnd “What I Individually Ought to Do” and “To Improve the
Lot of Humankind.” Many philosophers and those not so schooled believe
that this is the purpose of ethics.
The difficulty in ﬁnding “What I Individually Ought to Do” has always

been, and continues to be for a modern life, a myriad of decisions that must
be made quickly, with overwhelming and quickly changing information, and
must be done reasonably well. This is not a simple statement that can be
quickly overlooked. We face these decision-making dilemmas every minute of
every day. Under these circumstances, when we are faced with the need to
make such decisions, do we really have enough information to make a sound
decision? When the information at hand is not complete and when the nec-
essary knowledge and understanding of reality is lacking, the ability to identify
the consequences of a decision may often lead to a bad decision. For a number
of people, when the ingredients of a good decision-making process are missing,
they rely on habits. Decisions based on habits are not always sound ethical
decisions, and they are not always good.
The purpose of ethics has been and continues to be, especially for us in
a modern and technologically driven society, the establishment of basic guide-
lines and rules of thumb for determining which behaviors are most likely to
promote the achievement of the “The Best,” over the long-term.12
These guide-
lines and rules of thumb are the codes of ethics.
3—Ethics 23

Chapter 4
Morality, Technology
and Value
• Identify assumptions and values embedded in a particular computer prod-
uct design including those of a cultural nature.
• Understand the moral value of technology.
• Understand the role morality plays in decision making.
• Describe positive and negative ways in which computing alters the way
decisions are made by different people.
• Explain why computing/network access is restricted in some countries.
• Analyze the role and risks of computing in the implementation of public
policy and government.
• Articulate the impact of the input deficit from diverse populations in the
computing profession.
Every time I am onboard an aircraft, I reflect on how technology has
drastically changed our lives. Great things have happened during my life to
make our lives easier. Planes, trains and automobiles have all been invented to
ease our daily needs and necessity of movement. Near miraculous drugs and
difficult-to-believe medical procedures have been made possible because of
technology. The advent of computer technology has opened a new chapter in
technological advances, all to make our lives easier so that we all can live good
lives.
Ken Funk defines technology as a rational process of creating a means to
order and transform matter, energy, and information to realize certain valued
ends.1
Technology is not a value. Its value depends on how we use it. Indeed,
technology is a utility tool like a device, system, or method that represents the
process to the good life. Technological processes have three components:
24

inputs, an engine, and outputs. For technology to be novel and useful to us as
a utility, the engine must be new and the outputs must have value to us. We
derive usefulness out of this utility based on the quality of that value in relation
to our value system. If the outputs of the processes have relevancy and con-
tribute to the knowledge base that we routinely use to create other utilities
that ease our lives, then, the new technology has value. Otherwise, it is not a
good technology. We have seen and probably used many technologies that we
judge to be of no use to us.
What we call good and bad technologies are scaled on our value system.
If the process outputs are judged as having contributed to good knowledge in
our value system (moral values), then that technology is judged good and use-
ful. We have seen many such technologies. However, we have also seen a myriad
of technologies that come nowhere near our value systems. These we call bad
technologies. So all judgments of technology are based on a set of value stan-
dards, our moral values.
There are many who will disagree with me in the way I deﬁne value, as
it is derived from technology. In fact, some argue that this value is subjective.
Others deﬁne it as objective. Many say it is intrinsic yet others call it instru-
mental. We are saying that this value is personal, hence, moral. In the end,
when we use technology, the value we derive from the technology and the
value we use in decision making while using the technology is based on one’s
beliefs and moral value system. This value scaling problem in the use of tech-
nology haunts all of us in the day-to-day use of technology and even more so
in decision making.
Moral Dilemmas, Decision Making,
and Technology
Dilemmas in decision making are quite common in our everyday activi-
ties. The process of decision making is complex: It resembles a mathematical
mapping of input parameters into output decisions. The input parameters in
the decision-making process are premises. Each premise has an attached value.
The mapping uses these values along with the premises to create an output,
which is the decision. For example, if I have to make the decision whether to
walk to church or take the car, the set of premises might include time, parking,
exercise, and gas. If I take the car, the values attached to the premises are saving
time, needing a parking space, not getting any exercise, and buying gas. How-
ever, if I decide to walk, my decision might be based on another set of premises
like: Walking to church one day a week is good exercise, and I will save money
by not buying gas. The mapping function takes these premises together with
4—Morality, Technology and Value 25

the values and outputs a “logical” decision. Dilemmas in decision making are
caused by one questioning the values attached to one’s premises as inputs to
the decision being made. One’s scaling of values to the inputs may be inﬂuenced
by a number of factors such as advances in technology and incomplete or mis-
leading information.
Advances in Technology
Dilemmas are usually caused by advances in technology. Computer tech-
nology in particular has created more muddles in the decision-making process
than in any other technology. Advances in computer technology create a mul-
titude of possibilities that never existed before. Such possibilities present pro-
fessionals with myriad temptations.2
Incomplete or Misleading Information
Not having all the information one needs before making a decision can
be problematic. Consider the famous prisoners’ dilemma. Two people are
caught committing a crime, and they are taken to different interrogation rooms
before they have a chance to coordinate their stories. During the interrogation,
each prisoner is told that the other prisoner has agreed to plead guilty on all
charges. Authorities inform each prisoner that agreeing to plead guilty on all
charges as the other prisoner has done will bring him or her a reduced sentence.
Rejecting the plea will mean that the prisoner refuses to cooperate with the
investigation and may result in he or she receiving the maximum punishment.
Each prisoner has four recourses:
(i) plead guilty without the friend pleading guilty, which means deserting
a friend;
(ii) refuse to plead guilty while the friend pleads guilty, which means
betrayal and probably a maximum sentence;
(iii) plead guilty while the friend pleads guilty, which means light sentences
for both of them; or
(iv) both refuse to plead guilty and each receives either a light sentence or
a maximum sentence.
Whichever option the prisoners take is risky because they do not have
enough information to enable them to make a wise decision. There are similar
situations in professional life when a decision has to be made quickly and not
enough information is available. In such a situation, the professional must take
extra care to weigh all possibilities in the input set of premises with their cor-
responding values.

Making Good Use of Technology
How can we use technology in a nondestructive way to advance human
society? Technology has placed at our disposal a multitude of possibilities,
many of which we never had before, that are shrouding our daily value-based
decision making in confusion and doubt. Doubt of our own value system, the
system we grew up with. Doubts are created because gaps in reasoning between
right and wrong has been muddled up because of the many possibilities, many
of which are new and we are no longer sure! An appropriate response to this
confusion of reasoning is multifaceted and may include the following solu-
tions:
• Formulate new laws to strengthen our basic set of values, which are
being rendered irrelevant by technology.
• Construct a new moral and ethical conceptual framework in which
the new laws can be applied successfully.
• Launch a massive education campaign to make society aware of the
changing environment and the impact such an environment is having
on our basic values.
Nations and communities must have a regulated technology policy. Tech-
nology without a policy is dangerous technology. We are not calling for a bur-
densome policy. We are calling for a guided technology policy that is based
on a basket of values. In formulating a policy like this, societies must be guided
by the critical needs of their society based on a sound value system. Scientists
and researchers must also be guided by a system of values.
Strengthening the Legal System
In many countries and local governing systems, technology has outpaced
the legal system. Many laws on the books are in serious need of review and
revision. Lawyers and judges seriously need retraining to cope with the new
realities of information technology and its rapidly changing landscape. Legal
books and statutes need to be updated. The technology in many courtrooms
in many countries needs to be updated in order to handle the new breed of
criminal.
Updating the legal system to meet new technology demands cannot be
done overnight. It is complex. It needs a training component that will involve
judges, lawyers, court clerks, and every other personnel of the court. It also
needs an implementation component that involves acquiring the new tech-
nologies for the courtrooms. This will involve software and hardware and the

training of the people to use such facilities. Lastly, and probably the most diffi-
cult, is the legislative component. A thorough review of current law is needed
to update the relevant laws and to draw up new ones to meet current needs.
Also, since technology is stretching the legal garment and constantly causing
tears in the seams, there is a need for a policy to allow quick and effective reac-
tion to new technologies so relevant and needed laws are created quickly.
A New Conceptual Moral Framework
New technologies in communication have resulted in demographical
tidal waves for the global societies. Only primitive societies (which themselves
are disappearing) have not been touched. The movement of people and goods
between nations and societies and the Internet are slowly creating a new global
society with serious social and moral characteristics. With this new society, how-
ever, no corresponding moral and ethical framework has been created. This
has resulted in a rise in crime in the new nonmonolithic societies. The future
of monolithic societies is uncertain because of the rapid globalization of cul-
tures and languages. This globalization, along with the plummeting prices of
computers and other Internet-accessing devices, had ignited a growing realiza-
tion and fear, especially among religious and civic leaders, moralists, and parents,
that society is becoming morally loose and citizens are forgetting what it is to
be human. Of immediate concern to these groups and many others is that a
common morality is needed. However, they also realize that morality is not easily
deﬁnable. As societies become diverse, the need for a common moral frame-
work as a standard for preserving decency and effectively reversing the trend
of skyrocketing moral decadence and combating crimes becomes most urgent.
Moral and Ethics Education
It is not easy to teach morality. In many countries this has been accom-
plished through the teaching of character. Character education in public
schools has raised many controversies between civil libertarians and the reli-
gious right. Each believes they have a God-given right to character education.
So while it is good to teach, we will focus on ethics education for now. Ethics
education can take many forms. We will discuss formal education and advocacy.
Formal Education
The formal education of ethics should start in elementary schools. As
students are introduced to information technology in elementary school, they

should be told not to use machines to destroy other people’s property or to
hurt others. This should be explained in age-appropriate language. For exam-
ple, children should be taught to use computers and the Internet responsibly.
They should be told not to visit certain Web pages, to avoid getting involved
in relationships online, not to give out personal or family information online,
and not to arrange to meet anyone offline. In addition, they should be told to
respect the work and property of others whether they are online or off. There
are already reported cases of children as young as 14 years old breaking into
computer systems and destroying records. In fact, many of the computer net-
work attacks and a good number of the headline-making computer attacks
have been perpetrated by young people, sometimes as young as ten years old.
For example, in a certain county in Tennessee, several ninth graders broke into
their school’s computer system and infected it with a virus that wiped out
most of the school’s records. It is believed the students got the virus off the
Internet.3
The educational content must be relevant and sensitive to different
age groups and professionals.
As students go through high school, content should become progressively
more sophisticated. The message on the responsible use of computers should
be stressed more. The teen years are years of curiosity and discovery and a lot
of young people ﬁnd themselves spending long hours on computers. Those
long hours should be spent responsibly. While a good portion of the message
should come from parents, schools should also play a part by offering courses
in responsible use of computers. The teaching should focus on ethics; students
should be given reasons why they should not create and distribute viruses,
download copyrighted materials off the Internet, or use the Internet to send
bad messages to others. These are ethical reasons that go beyond the “do it
and you will be expelled from school” type of threats.
In college, of course, the message should be more direct. There are several
approaches to deliver the message:
• Students take formal courses in professional ethics in a number of pro-
fessional programs in their respective colleges.
• Instead of taking formal ethics courses, students are taught the infor-
mation sprinkled throughout their courses, either in general education
or in their major.
• Include an ethics course in the general education requirements or add
ethics content to an existing course. For example, many colleges now
require computer literacy as a graduation requirement. Adding ethics
content to the already required class is an option.
• Require a one-hour online information ethics course.

Once students join the workplace environment, they should be required
to attend informal refresher courses, upgrading sessions, seminars, in-service
courses or short workshops periodically.
Advocacy
Advocacy is a mass education strategy which has been used for genera-
tions. Advocacy groups work with the public, corporations and governments
to enhance public education through awareness. A mass education campaign
involves distributing a message in magazines, and electronic publications, by
supporting public events and by communicating through the mass media like
television, radio, and now the Internet.
Advocacy is intended to make people part of the message. For example,
during the struggles for voting rights in the United States, women’s groups
and minorities designed and carried out massive advocacy campaigns that were
meant to involve all women who eventually became part of the movement.
Similarly, in the minority voting rights struggles, the goal was to involve all
minorities whose rights had been trampled. The purpose of advocacy is to
organize, build, and train so there is a permanent and vibrant structure people
can be a part of. By involving as many people as possible, including the
intended audience in the campaigns, the advocacy strategy brings awareness
which leads to more pressure on lawmakers and everyone else responsible. The
pressure brought about by mass awareness usually results in some form of
action, usually the desired action.
The expansion and growth of cyberspace has made fertile ground for
advocacy groups, because now they can reach virtually every society around
the globe. Advocacy groups rally their troops around issues of concern. So far,
online issues include individual privacy and security, better encryption stan-
dards and the blocking of pornographic materials and any other materials
deemed unsuitable or offensive to certain audiences. The list of issues grows
every day as cyberspace gets more exposure.
Not only is the list of issues getting longer, but the number of advocacy
groups is also getting larger as more groups form in reaction to new issues.
Renowned advocacy groups for moral issues include4
:
• The Family Research Council (FRC) works to promote and defend
common morality through traditional family values in all media out-
lets. It develops and advocates legislative and public policy initiatives
that promote and strengthen family and traditional values, and it
established and maintains a database for family value research.

• Enough Is Enough (EE) is dedicated to preserving common morality
in cyberspace through ﬁghting pornography on the Internet.
• The Christian Coalition (CC) represents some Christian churches in
the United States. It works on legislative issues and on strengthening
families and family values.

Chapter 5
Cyberspace Infrastructure
• Describe the evolution of and types of computer networks.
• Understand networking fundamentals, including network services and
transmission media.
• Understand network software and hardware, including media access con-
trol, network topologies, and protocols, as well as connectivity hardware
for both local area and wide area networks.
• Understand how and why the computer network infrastructure is the
bedrock that enables and offers a medium of computer crimes
In his science-fiction novel Neuromancer, William Gibson first coined the
term “cyberspace” to describe his vision of a three-dimensional space of pure
information, moving between computer and computer clusters that make up
this vast landscape. This infrastructure, as envisioned by Gibson, links computers
as both computing and transmitting elements, people as generators and users of
information, and pure information moving at high speed between highly inde-
pendent transmitting elements. The transmitting elements are linked by con-
ducting media, and the information moving from the sourcing element to the
receiving element via intermediary transmitting elements is handled by software
rules called protocols. The cyberspace infrastructure, therefore, consists of hard-
ware nodes as sourcing, transmitting, and receiving elements; software as pro-
tocols; humanware as users of information; and finally pure information that is
either in a state of rest at a node or a state of motion in the linking media.
Computer Communication Networks
A computer communication network system consists of hardware, soft-
ware, and humanware. The hardware and software allow the humanware—
32

the users—to create, exchange, and use information. The hardware consists
of a collection of nodes that include the end systems, commonly called hosts,
and intermediate switching elements that include hubs, bridges, routers and
gateways. We will collectively call all of these network or computing elements,
or sometimes without loss of generality, just network elements. The software,
all application programs and network protocols, synchronize and coordinate
the sharing and exchange of data among the network elements and the sharing
of expensive resources in the network. Network elements, network software,
and users, all work together so that individual users get to exchange messages
and share resources on other systems that are not readily available locally. The
network elements may be of diverse hardware technologies and the software
may be different, but the whole combo must work together in unison. This
concept that allows multiple, diverse underlying hardware technologies and
different software regimes to interconnect heterogeneous networks and bring
them to communicate is called internetworking technology. Internetworking
technology makes Gibson’s vision a reality; it makes possible the movement
and exchange of data and the sharing of resources among the network elements.
This is achieved through the low-level mechanisms provided by the network
elements and the high-level communication facilities provided by the software
running on the communicating elements. Let us see how this infrastructure
works by looking at the hardware and software components and how they
produce a working computer communication network. We will start with the
hardware components, consisting of network types and network topology.
Later, we will discuss the software components consisting of the transmission
control system.
Network Types
The connected computer network elements may be each independently
connected on the network or connected in small clusters, which are in turn
connected together to form bigger networks via connecting devices. The size
of the clusters determines the network type. There are, in general, two network
types: a local area network (LAN) and a wide area network (WAN). A LAN
consists of network elements in a small geographical area such as a building
ﬂoor, a building, or a few adjacent buildings. The advantage of a LAN is that
all network elements are close together so the communication links maintain
a higher speed data movement. Also, because of the proximity of the commu-
nicating elements, high-cost and quality communicating elements can be used
to deliver better service and higher reliability. Figure 5.1 shows a LAN net-
work.
WANs cover large geographical areas. Some advantages of a WAN
5—Cyberspace Infrastructure 33

include the ability to distribute services to a wider community and the avail-
ability of a wide array of both hardware and software resources that may not
be available in a LAN. However, because of the large geographical areas cov-
ered by WANs, communication media are slow and often unreliable. Figure
5.2 shows a WAN network.
Network Topology
WAN networks are typically found in two topologies: mesh and tree.
WANs using a mesh topology provide multiple access links between network
elements. The multiplicity of access links offers an advantage in network reli-
ability because whenever a network element failure occurs, the network can
always ﬁnd a bypass to the failed element and the network continues to func-
tion. Figure 5.3 shows a mesh network.
A WAN using a tree topology uses a hierarchical structure in which the
most predominant element is the root of the tree and all other elements in the
network share a child-parent relationship. The tree topology is a generalization
of the bus topology. As in ordinary trees, there are no closed loops, so dealing
with failures can be tricky, especially in deeply rooted trees. Transmission from
any element in the network propagates through the network and is received
by all elements in the network. Figure 5.4 shows a WAN using a tree topol-
ogy.
Figure 5.1 A LAN Network

Figure 5.2 A WAN Network
Figure 5.3 A Mesh Network
Figure 5.4 A Tree Topology

A LAN can be a bus, a star, or a ring topology. Elements in a bus topology,
as seen in Figure 5.5, are on a shared bus and, therefore, have equal access to
all LAN resources. All network elements have full-duplex connections to the
transmitting medium which allow them to send and receive data. Because each
computing element is directly attached to the transmitting medium, a trans-
mission from any one element propagates the whole length of the medium in
either direction and, therefore, can be received by all elements in the network.
Because of this, precautions need to be taken to make sure that transmissions
intended for one element can only be gotten by that element and no one else.
Also, if two or more elements try to transmit at the same time, there is a
mechanism to deal with the likely collision of signals and to bring a quick
recovery from such a collision. It is also necessary to create fairness in the net-
work so that all other elements can transmit when they need to do so.
To improve efficiency in LANs that use a bus topology, only one element
in the network can have control of the bus at any one time. This requirement
prevents collisions from occurring in the network as elements in the network
try to seize the bus at the same time.
In a star topology setting, all elements in the network are connected to
a central element. However, elements are interconnected as pairs in a point-
to-point manner through this central element, and communication between
any pair of elements must go through this central element. The central element,
or node, can operate either in a broadcast fashion, in which case information
from one element is broadcast to all connected elements, or it can transmit as
a switching device in which the incoming data are transmitted to only one
element, the nearest element en route to the destination. The biggest disad-
Figure 5.5 A Bus Topology

vantage to the star topology in networks is that the failure of the central ele-
ment results in the failure of the entire network. Figure 5.6 shows a star topol-
ogy.
In networks using a ring topology, each computing element is directly
connected to the transmitting medium via a unidirectional connection so that
information put on the transmission medium is able to reach all computing
elements in the network through a system of taking turns in sending informa-
tion around the ring. Figure 5.7 shows a ring topology network. The taking
of turns in passing information is managed through a token system. An element
currently sending information has control of the token and it passes it down-
stream to its nearest neighbor after its turn. The token system is a good man-
agement system of collision and fairness.
There are variations of a ring topology collectively called hub hybrids.
They can be a combination of either a star with a bus as shown in Figure 5.8
or a stretched star as shown in Figure 5.9.
Although network topologies are important in LANs, the choice of a
topology depends on a number of other factors including the type of trans-
mission medium, reliability of the network, the size of the network and the
Figure 5.6 A Star Topology

Figure 5.7 A Ring Topology
Figure 5.8 A Bus and Star Topology Hub

anticipated future growth of the network. Recently, the most popular LAN
topologies have been the bus, star, and ring topologies. The most popular bus-
and star-based LAN topology is the Ethernet and the most popular ring-based
LAN topology is the Token Ring.
Ethernet as a LAN technology started in the mid–1970s. Since then, it
has grown at a rapid rate to capture a far larger LAN technology market share
than its rivals, which include Asynchronous Transfer Mode (ATM), Fiber Dis-
tributed Data Interface (FDDI), and Token Ring technologies. Its rapid
growth is partly historical. It has been on the market for the longest period
and it is simple. Many variations of Ethernet use either a bus or a star topology
and can run over any of the following transmission media: coaxial cable,
twisted pair, and optical fiber. We will discuss transmission media in the com-
ing sections.
Ethernet can transmit data at different speeds, varying from a few Mbps
to higher numbers Gbps. The basic Ethernet transmission structure is a frame
and it is shown in Figure 5.10.
The source and destination fields contain six byte LAN addresses of the
form xx-xx-xx-xx-xx-xx, where X is a hexadecimal integer. The error detection
field is four bytes of bits used for error detection, usually using Cyclic Redun-
dancy Check (CRC) algorithm, in which the source and destination elements
synchronize the values of these bits.
Ethernet LANs broadcast data to all network elements. Because of this,
Ethernet uses a collision and fairness control protocol commonly known as
Carrier Sense Multiple Access (CSMA) and Collision Detection (CD), combined
Figure 5.9 A Token Ring Hub

as CSMA/CD. CSMA/CD makes sure that an element never transmits a data
frame when it senses that some other element on the network is transmitting.
Table 5.1 Popular Ethernet Technologies
Technology Transmission medium Topology Speed
10Base2 Coaxial Bus 10Mbps
10Base-T Twisted Star 10Mbps
100Base-T Copper wire Star 100Mbps
Gigabit Optical ﬁber Star Gigabps
In this case it is carrier sensitive. If an element detects another element
on the network transmitting, the detecting element immediately aborts its
efforts. It then tries to retransmit later after a random amount of time. Table
5.1 shows some popular Ethernet technologies.
Token Ring LAN technology is based on a token concept which involves
passing the token around the network so that all network elements have equal
access to it. The token concept is very similar to a worshipping house collection
basket. If and when an attendee wants to donate money during the service,
they wait until the basket makes its way to where they are sitting. At that point
the donor grabs the basket and puts in money. Precisely, when the network
element wants to transmit, it waits for the token on the ring to make its way
to the element’s connection point on the ring. When the token arrives at this
point, the element grabs it and changes one bit of the token, which becomes
the start bit in the data frame the element will be transmitting. The element
then inserts data and releases the payload onto the ring. It then waits for the
token to make a round and come back. Upon return, the element withdraws
the token and a new token is put on the ring for another network element
that may need to transmit.
Because of its round-robin nature, the Token Ring technique gives each
network element a fair chance of transmitting if it wants to. However, if the
token ever gets lost, the network business halts. Figure 5.11 shows the structure
of a Token Ring data frame.
Like Ethernet, Token Ring has a variety of technologies based on trans-
mission rates. Table 5.2 shows some of these topologies.1
Figure 5.10 Ethernet Frame Data Structure

Rival LAN technologies such as FDDI uses a Token Ring scheme with
many similarities to the original Token Ring technology. ATM transports real-
time voice and video, text, e-mail, and graphic data and offers a full array of
network services that make it a rival of the Internet network.
Table 5.2 Token Ring Topologies
Technology Transmission medium Topology Speed
1 Twisted pair Ring 4Mbps
2 Twisted Ring 16Mbps
3 Twisted pair Ring 100Mbps
4 Optical ﬁber Ring 100Mbps
Transmission Control Systems
The performance of a network type depends greatly on the transmission
control system (TCS) the network uses. Network transmission control systems
have ﬁve components: transmission technology, transmission media, connect-
ing devices, communication services, and transmission protocols.
Transmission Technology
Data movement in a computer network is either analog or digital. In an
analog format, data is sent as continuous electromagnetic waves on an interval
representing things like voice and video. In a digital format, data is sent as a
digital signal, a sequence of voltage pulses which can be represented as a stream
of binary bits. Transmission itself is the propagation and processing of data
signals between network elements. The concept of representation of data for
transmission, either as an analog or a digital signal, is called an encoding scheme.
Encoded data is then transmitted over a suitable transmission medium that
connects all network elements. There are two encoding schemes: analog and
digital. Analog encoding propagates analog signals representing analog data.
Digital encoding, on the other hand, propagates digital signals representing
either an analog or a digital signal representing digital data of binary streams.
Because our interest in this book is in digital networks, we will focus on the
encoding of digital data.
Figure 5.11 Token Ring Data Frame

In an analog encoding of digital data, the encoding scheme uses a con-
tinuous oscillating wave, usually a sine wave, with a constant frequency signal
called a carrier signal. Carrier signals have three characteristics: amplitude,
frequency, and phase shift. The scheme then uses a modem, a modulation-
demodulation pair to modulate and demodulate any one of the three carrier
characteristics. Figure 5.12 shows the three carrier characteristic modulations.2
Amplitude modulation represents each binary value by a different amplitude
of the carrier frequency. For example, as Figure 5.12 (a) shows, the absence of
a low carrier frequency may be represented by a 0 and any other frequency
then represents a 1. Frequency modulation also represents the two binary val-
ues by two different frequencies close to the frequency of the underlying carrier.
Higher frequency represents a 1 and low frequency then represents a 0. Fre-
quency modulation is represented in Figure 5.12 (b). Phase shift modulation
changes the timing of the carrier wave, shifting the carrier phase to encode the
data. One type of shifting may represent a 0 and another type a 1. For example,
as Figure 5.12 (c) shows, a 0 may represent a forward shift and a 1 may represent
a backward shift.
Figure 5.12 Carrier Characteristic Modulations

Quite often during transmission of data over a network medium, the vol-
ume of transmitted data may far exceed the capacity of the medium. When
this happens, it may be possible to make multiple signal carriers share a trans-
mission medium. This is referred to as multiplexing. There are two ways mul-
tiplexing can be achieved: time-division multiplexing (TDM) and frequency-
division multiplexing (FDM).
The second encoding scheme is the digital encoding of digital data.
Before information is transmitted, it is converted into bits (zeros and ones).
The bits are then sent to a receiver as electrical or optical signals. The scheme
uses two different voltages to represent the two binary states (digits). For
example, a negative voltage may be used to represent a 1 and a positive voltage
to represent a 0. Figure 5.13 shows the encoding of digital data using this
scheme.
To ensure a uniform standard for using electrical signals to represent data,
the Electrical Industries Association (EIA) developed a standard widely known
as RS-232. RS-232 is a serial, asynchronous communication standard: serial,
because during transmission, bits follow one another, and asynchronous,
because it is irregular in the transfer rate of data bits. The bits are put in the
form of a packet and the packets are transmitted. RS-232 works in full duplex
between the two transmitting elements. This means that the two elements can
both send and receive data simultaneously. RS-232 has a number of limitations
including the idealizing of voltages, which never exists, and limits on both
bandwidth and distances.
Figure 5.13 Encoding Electrical Signal and Showing of Zeros and Ones

Transmission Media
The transmission medium is the physical medium between network ele-
ments. The characteristic quality, dependability, and overall performance of
a network depends heavily on its transmission medium. Transmission medium
determines a network’s key criteria, the distance covered, and the transmission
rate. Computer network transmission media fall into two categories: wired
and wireless transmission.3
Wired transmission consists of different types of physical media. A very
common medium, for example, is optical fiber, a small medium made up of
glass and plastics that conducts an optical ray. As shown in Figure 5.14 (b), a
simple optical fiber has a central core made up of thin fibers of glass or plastics.
The fibers are protected by a glass or plastic coating called a cladding. The
cladding, though made up of the same materials as the core, has different prop-
erties that give it the capacity to reflect back to the core rays that tangentially
hit on it. The cladding itself is encased in a plastic jacket. The jacket is meant
to protect the inner fiber from external abuses like bending and abrasions.
The transmitted light is emitted at the source either from a light emitting
diode (LED) or an injection laser diode (ILD). At the receiving end, the emit-
ted rays are received by a photo detector.
Figure 5.14 Types of Physical Media

Another physical medium is the twisted pair, two insulated copper wires
wrapped around each other forming frequent and numerous twists. Together,
the twisted, insulated copper wires act as a full-duplex communication link. To
increasethecapacityofthetransmittingmedium,morethanonepairofthetwisted
wires may be bundled together in a protective coating. Twisted pairs are far less
expensive than optical fibers, and indeed other media, and they are, therefore,
widely used in telephone and computer networks. However, they are limited in
transmission rate, distance, and bandwidth. Figure 5.14 (c) shows a twisted pair.
Coaxial cables are dual conductor cables with an inner conductor in the
core of the cable protected by an insulation layer and the outer conductor sur-
rounding the insulation. The outer conductor is itself protected by yet another
outer coating called the sheath. Figure 5.14 (a) shows a coaxial cable. Coaxial
cables are commonly used in television transmissions. Unlike twisted pairs,
coaxial cables can be used over long distances.
A traditional medium for wired communication are copper wires, which
have been used in communication because of their low resistance to electrical
currents which allow signals to travel even further. But copper wires suffer
from interference from electromagnetic energy in the environment, including
from themselves. Because of this, copper wires are insulated.
Wireless communication involves basic media like radio wave commu-
nication, satellite communication, laser beam, microwave, and infrared.4
Radio,
of course, is familiar to us all as radio broadcasting. Networks using radio com-
munications use electromagnetic radio waves or radio frequencies commonly
referred to as RF transmissions. RF transmissions are very good for long dis-
tances when combined with satellites to refract the radio waves.
Microwave, infrared, and laser are other communication types that can
be used in computer networks. Microwaves are a higher frequency version of
radio waves but whose transmissions, unlike radio, can be focused in a single
direction. Infrared is best used effectively in a small confined area, for example,
in a room as you use your television remote, which uses infrared signals. Laser
light transmissions can be used to carry data through air and optical fibers,
but like microwaves, they must be refracted when used over large distances.
Cell-based communication technology of cellular telephones and per-
sonal communication devices are boosting this wireless communication. Wire-
less communication is also being boosted by the development in broadband
multimedia services that use satellite communication.
Connecting Devices
Computing elements in either LAN or WAN clusters are brought
together by and can communicate through connecting devices commonly

referred to as network nodes. Nodes in a network are either at the ends as end
systems, commonly known as clients, or in the middle of the network as trans-
mitting elements. Among the most common connecting devices are: hubs,
bridges, switches, routers, and gateways. Let us briefly look at each one of these
devices.
A hub is the simplest in the family of network connecting devices because
it connects LAN components with identical protocols. It takes in imports and
retransmits them verbatim. It can be used to switch both digital and analog
data. In each node, presetting must be done to prepare for the formatting of
the incoming data. For example, if the incoming data is in digital format, the
hub must pass it on as packets; however, if the incoming data is analog, then
the hub passes it on in a sig-
nal form. There are two
types of hubs: simple and
multiple port. Figure 5.15
shows both types of hubs in
a LAN.
Bridges are like hubs in
every respect including the
fact that they connect LAN
components with identical
protocols. However, bridges
filter incoming data pack-
ets, known as frames, for
addresses before they are for-
warded. As it filters the data
packets, the bridge makes no
modifications to the format
or content of the incoming
data. A bridge filters frames
to determine whether a
frame should be forwarded
or dropped. It works like a
postal sorting machine
which checks the mail for
complete postal addresses
and drops a piece of mail if
the address is incomplete or
illegible. The bridge filters
and forwards frames on the
network with the help of a
Figure 5.15 Types of Hubs in a LAN

dynamic bridge table. The bridge table, which is initially empty, maintains
the LAN addresses for each computer in the LAN and the addresses of each
bridge interface that connects the LAN to other LANs. Bridges, like hubs,
can be either simple or multiple port. Figure 5.16 shows the position of a simple
bridge in a network cluster. Figure 5.17 shows a multiple port bridge.
Figure 5.16 A Simple Bridge
Figure 5.17 A Multiple Port Bridge

LAN addresses on each frame in the bridge table are of the form cc-cc-
cc-cc-cc-cc-cc-cc, where cc are hexadecimal integers. Each LAN address in the
cluster uniquely connects a computer on a bridge. LAN addresses for each
machine in a cluster are actually network identification card (NIC) numbers
that are unique for every network card ever manufactured. The bridge table,
which initially is empty, has a turnaround time slice of n seconds, and node
addresses and their corresponding interfaces enter and leave the table after n
seconds.5
For example, suppose in Figure 5.18 we begin with an empty bridge
table and node A in cluster 1 with the address A0-15-7A-ES-15-00 sending a
frame to the bridge via interface 1 at time 00:50. This address becomes the
first entry in the bridge table, Table 5.3, and it will be purged from the table
after n seconds. The bridge uses these node addresses in the table to filter and
then forwards LAN frames onto the rest of the network.
Switches are newer network intercommunication devices that are nothing
more than high-performance bridges. Besides providing high performance,
switches accommodate a high number of interfaces. They can, therefore, inter-
connect a relatively high number of hosts and clusters. Like their cousins the
bridges, the switches filter and then forward frames.
Routers are general purpose devices that interconnect two or more het-
erogeneous networks. They are usually dedicated to special purposes comput-
ers with separate input and output interfaces for each connected network.
Each network addresses the router as a member computer in that network.
Because routers and gateways are the backbone of large computer networks
Figure 5.18 LAN with Two Interfaces

like the Internet, they have special features that give them the ﬂexibility and
the ability to cope with varying network addressing schemes and frame sizes
through segmentation of big packets into smaller sizes that ﬁt the new network
components. They can also cope with both software and hardware interfaces
and are very reliable. Since each router can connect two or more heterogeneous
networks, each router is a member of each network it connects to. It, therefore,
has a network host address for that network and an interface address for each
network it is connected to. Because of this rather strange characteristic, each
router interface has its own Address Resolution Protocol (ARP) module, its
own LAN address (network card address), and its own Internet Protocol (IP)
address.
The router, with the use of a router table, has some knowledge of possible
routes a packet could take from its source to its destination. The routing table,
like in the bridge and switch, grows dynamically as activities in the network
develop. Upon receipt of a packet, the router removes the packet headers and
trailers and analyzes the IP header by determining the source and destination
addresses, data type, and noting the arrival time. It also updates the router
table with new addresses if not already in the table. The IP header and arrival
time information is entered in the routing table. Let us explain the working
of a router by using Figure 5.19.
Figure 5.19 Routers in Action
Table 5.3 Changes in the Bridge Table
Address Interface Time
A0-14-7A-ES-15-08 1 00:50

In Figure 5.19, suppose Host A tries to send a packet to Host B. Host A
is in network 1 and host B is in network 2. Both Host A and Host B have two
addresses, the LAN (host) address and the IP address. Notice also that the
router has two network interfaces: Interface1 for LAN1 and Interface2 for
LAN2 (for the connection to a bigger network like the Internet). Each inter-
face has a LAN (host) address for the network the interface connects on and
a corresponding IP address. As we will see later in this chapter, Host A sends
a packet to Router 1 at time 10:01 that includes, among other things, both its
addresses, message type, and destination IP address of Host B. The packet is
received at Interface1 of the router; the router reads the packet and builds
row 1 of the routing table.
The router notices that the packet is to go to network 193.55.1.***, where
*** are digits 0–9, and it has knowledge that this network is connected on
Interface2. It forwards the packet to Interface2. Now Interface2 with its own
ARP may know Host B. If it does, then it forwards the packet on and updates
the routing table with inclusion of row 2. What happens when the ARP at the
router Interface1 cannot determine the next network? That is, if it has no
knowledge of the presence of network 193.55.1.***, then it will ask for help
from a gateway.
Gateways are more versatile devices that provide translation between net-
working technologies such as Open System Interconnection and Transmission
Control Protocol/Internet Protocol. (We will discuss these technologies
shortly.) Because of this, gateways connect two or more autonomous networks
each with its own routing algorithms, protocols, domain name service, and
network administration procedures and policies. Gateways perform all of the
functions of routers and more. In fact, a router with added translation func-
tionality is a gateway. The function that does the translation between different
network technologies is called a protocol converter. Figure 5.20 shows the posi-
tion of a gateway in a network.
Communication Services
Now that we have a network infrastructure in place, how do we get the
network transmitting elements to exchange data over the network? The com-
munication control system provides services to meet speciﬁc network relia-
bility and efficiency requirements. Two services are provided by most digital
networks: connection-oriented and connectionless services.
With a connection-oriented service, before a client can send packets with
real data to the server, there must be a three-way handshake. We will discuss
the three-way handshake in detail in Chapter 6. For our purpose now, let us

just give the general outline. The three-way handshake includes a client initi-
ating a communication by sending the ﬁrst control packet, the SYN (short for
synchronization), with a “hello” to the server’s welcoming port. The server
creates (opens) a communication socket for further communication with a
client and sends a “hello, I am ready” SYN-ACK (short for synchronization-
acknowledgment) control packet to the client. Upon receipt of this packet,
the client then starts to communicate with the server by sending the ACK
(short for acknowledgment) control packet usually piggybacked on other data
packets. From this point on, either the client or the server can send an
onslaught of packets. The connection just established, however, is very loose,
and we call this type of connection, a connection-oriented service. Figure 5.21
shows a connection-oriented three-way handshake process.
Figure 5.21 A Connection-Oriented Three-Way Handshake
Figure 5.20 Position of a Gateway

In a connectionless service there is no handshaking. This means that a
client can start to communicate with a server, without warning or inquiry for
readiness; it simply sends streams of packets from its sending port to the server’s
connection port. There are advantages and, of course, disadvantages to this
type of connection service as we discuss in the next section. Briefly, the
connection is faster because there is no handshaking which sometimes can be
time consuming. However, this service offers no safeguards or guarantees to
the sender because there is no prior control information and no acknowledg-
ment.
Before we discuss communication protocols, let us take a detour and
briefly discuss data transfer by a switching element. This is a technique by
which data is moved from host to host across the length and width of the net-
work mesh of hosts, hubs, bridges, routers, and gateways. This technique is
referred to as data switching. The type of data switching technique a network
uses determines how messages are transmitted between two communicating
elements and across that network. There are two types of data switching tech-
niques: circuit switching and packet switching.
Circuit switching networks reserve the resources needed for the com-
munication session before the session begins. The network establishes a circuit
by reserving a constant transmission rate for the duration of transmission. For
example, in a telephone communication network a connected line is reserved
between the two points before the users can start using the service. One issue
of debate on circuit switching is the perceived waste of resources during the
so-called silent periods, when the connection is fully in force but not being
used by the parties. This situation happens when, for example, during a tele-
phone network session, a telephone receiver is not hung up after use, leaving
the connection established. During this period while no one is utilizing the
session, the session line is still open.
Packet switching networks, on the other hand, do not require any
resources to be reserved before a communication session begins. Packet switch-
ing networks, however, require the sending host to send the message as a
packet. If a message is large, it is broken into smaller packets. Then, each of
the packets is sent on the communication links and across packet switches
(routers). Each router, between the sender and receiver, passes the packet on
until it reaches the destination server. The destination server reassembles the
packets into the final message. Figure 5.22 shows the role of routers in packet
switching networks.
Packet switches are considered to be store-and-forward transmitters,
meaning they must receive the entire packet before the packet is retransmitted
to the next switch. Before we proceed let us make three observations:

(i) The transmission rate of a packet between two switching elements
depends on the maximum rate of transmission of the link joining them
and on the switches themselves.
(ii) There are always momentary delays introduced whenever the switch
is waiting for a full packet. The longer the packet, the longer the delay.
(iii) Each switching element has a ﬁnite buffer for the packets. So it is pos-
sible for a packet to arrive only to ﬁnd the buffer full with other pack-
ets. Whenever this happens, the newly arrived packet is not stored but
gets lost, a process called packet drop. So in peak times, servers may
drop a lot of packets. Congestion control techniques use the rate of
packet drop as one of the measures of traffic congestion in a network.
Transmission Protocols
Packet switching networks are commonly referred to as packet networks
for obvious reasons. These networks are also called asynchronous networks
and in such networks packets are ideal because the bandwidth is shared and,
of course, there is no hassle of making reservations for any anticipated trans-
mission. There are two types of packet switching networks. One is the virtual
circuit network, in which a packet route is planned and becomes a logical con-
nection before a packet is released. The other is the datagram network, which
is the focus of this book.
Because the packet network is very similar to the postal system we dis-
cussed earlier in this chapter, let us draw parallels between the protocols of
the postal communication system and those of the packet network or computer
Figure 5.22 A Packet Switching Network

network communication system. You may recall that in the postal system, mes-
sages were also moved in packets, like envelopes, cards, and boxes. The proto-
cols in the process of moving a letter from your hands to your aunt’s hands
were in a stack. In fact, we had two corresponding stacks, one on the sending
(you) node and the other on the receiving (your aunt) node. Also recall that
the tasks in each protocol in the stack were based on a set of guidelines.
Now consider the same communication in a computer communication
network. Suppose now that your aunt has a computer and an e-mail account
and instead of writing a letter you want to be modern and e-mail. The process,
from the start on your side to the ﬁnish on your aunt’s side, would go as fol-
lows.
You would start your computer, load your e-mail program, type your
message and include mail your aunt’s e-mail address, something like aunt
Kay@something.tk. When you send your e-mail, your e-mail software will try
to talk to your server as it tries to send your e-mail to the server that will deliver
it to your aunt, just like taking a letter to a mailbox in the postal system. Upon
acceptance of your e-mail, your server will try to locate your aunt’s server in
domain .tk. We have left out lots of details which we will come back to later.
After locating your aunt’s server, your server will then forward your e-mail to
it. Your aunt’s server will then store the e-mail in your aunt’s e-mail folder
waiting for her computer to fetch it for her. The trail of this e-mail from the
time it left your computer to the time it arrived in your aunt’s e-mail folder
consists of sets of activity groups we called stations in the postal system. We
will call the electronic version of these stations layers. Again, like in the postal
communication system, activities in each layer are performed based on a set
of operational procedures we will also call protocols. In networking, protocols
are like algorithms in mathematical computations. Algorithms spell out logical
sequences of instructions for the computations and, of course, hide the details.
Protocols do a similar thing in networking, providing hidden (from the user)
logical sequences of detailed instructions. Broadly, these instructions make
the source element initiate a communication, providing the identity of the
destination and providing assurances that the intended destination will accept
the message before any further communication is called for, and provide agreed
on schemes to the destination element for translating and ﬁle management
once the message is received. These instructions call for a dual layered set of
instructions we have called protocol stacks.
To streamline network communication, the International Standards
Organization (ISO) developed the Open System Interconnection (OSI)
model. The OSI is an open architecture model that functions as the network
communication protocol standard, although it is not the most widely used.
The Transmission Control Protocol/Internet Protocol (TCI/IP) protocol

suite is the most widely used. Both OSI and TCP/IP models, like the postal
system, use two protocol stacks, one at the source element and the other at
the destination element.
The development of the OSI model was based on the secure premise,
like the postal communication system, that different layers of protocol provide
different services and that each layer can communicate with only its own neigh-
boring layers. That is, the protocols in each layer are based on the protocols
of the previous layers. Figure 5.23 shows an OSI model consisting of seven
layers and the descriptions of the services provided in each layer.
Although the development of the OSI model was intended to offer a
standard for all other proprietary models and it was as encompassing of all
existing models as possible, it never really replaced many of those rival models
it was intended to replace. In fact, it is this “all in one” concept that caused its
failure on the market because it became too complex. And, its late arrival on
Figure 5.23 OSI Protocol Layers and Corresponding Services

the market also prevented its much anticipated interoperability across net-
works. Among OSI rivals was the TCP/IP which was far less complex and
more historically established by the time the OSI came on the market. Let us
now focus on the TCP/IP model.
An Example of a Computer Communication
Network Using TCP/IP: The Internet
The Internet is a network of communicating computing elements that
uses a TCP/IP interoperability network model which is far less complex than
the OSI model. The TCP/IP model is an evolving model that changes require-
ments as the Internet grows.
The Internet had its humble beginning in the research to develop a packet
switching network funded by the Advanced Research Projects Agency (ARPA)
of the Department of Defense (DOD). The resulting network was of course
named ARPANET. TCP/IP is a protocol suite consisting of details of how
computers in a network should intercommunicate, convey and route traffic
on the computer networks. Like the OSI model, TCP/IP uses layered protocol
stacks. These layers are application, transport, network, data link, and physical.
Figure 5.24 shows an Internet protocol stack of these layers.
However, whereas the OSI model uses seven layers as shown in Figure
5.23, the TCP/IP model uses ﬁve. Figure 5.25 shows the differences in layering
between the OSI and TCP/IP models.
Figure 5.24 TCP/IP Protocol Stack

Application Layer
The Application Layer provides the user interface with resources rich in
application functions. It supports all network applications and includes many
protocols such as HTTP for Web page access, SMTP for electronic mail, telnet
for remote login, and FTP for ﬁle transfers. In addition, it provides Name
Server Protocol (NSP) and Simple Network Management Protocol (SNMP),
remote ﬁle server (telnet), and Domain Name Resolution Protocol (DNRP).
Figure 5.26 shows an Application Layer data frame.
Transport Layer
The Transport Layer is a little bit removed from the user and it is hidden
from the user. Its main purpose is to transport Application Layer messages
that include Application Layer protocols in their headers between the host
and the server. For the Internet network, the Transport Layer has two standard
protocols: Transport Control Protocol (TCP) and User Datagram Protocol
(UDP). TCP provides a connection-oriented service and it guarantees delivery
of all Application Layer packets to their destinations. This guarantee is based
on two mechanisms: congestion control, which throttles the transmission rate
of the source element when there is traffic congestion in the network and the
Figure 5.25 OSI and TCP/IP Protocol Stack
Figure 5.26 Application Layer Data Frame

ﬂow control mechanism, which tries to match sender and receiver speeds to
synchronize the ﬂow rate and reduce the packet drop rate. While TCP offers
guarantees of delivery of the Application Layer packets, UDP on the other
hand offers no such guarantees. It provides a no frills connectionless service
with just delivery and no acknowledgments. But it is much more efficient and
the protocol of choice for real-time data like streaming video and music. Trans-
port Layer delivers Transport Layer packets and protocols to the Network
Layer. Figure 5.27 shows the TCP data structure and Figure 5.28 shows the
UDP data structure.
Network Layer
The Network Layer moves packets, now called datagrams, from router
to router along the path from a source host to a destination host. It supports
a number of protocols including the Internet Protocol (IP), Internet Control
Message Protocol (ICMP) and Internet Group Management Protocol
(IGMP). The IP is the most widely used Network Layer protocol. IP uses
header information from the Transport Layer protocols that include datagram
Figure 5.27 The TCP Packet Structure
Figure 5.28 The UDP Data Structure
Figure 5.29 IP Datagram Structure

source and destination port numbers from IP addresses, and other TCP header
and IP information, to move datagrams from router to router through the
network. The Best routes are found in the network by using routing algo-
rithms. Figure 5.29 shows an IP datagram structure.
The standard IP address has been the so-called IPv4, a 32-bit addressing
scheme. But with the rapid growth of the Internet, there was fear of running
out of addresses, so a new IPv6, a 64-bit addressing scheme, was created. The
Network Layer conveys the network layer protocols to the Data Link Layer.
Data Link Layer
The Data Link Layer provides the network with services that move pack-
ets from one packet switch, like a router, to the next over connecting links.
This layer also offers reliable delivery of Network Layer packets over links. It
is at the lowest level of communication and it includes the network interface
card (NIC) and operating system (OS) protocols. The list of protocols in this
layer include: Ethernet, ATM, and others like frame relay. The Data Link
Layer protocol unit, the frame, may be moved over links from source to des-
tination by different link layer protocols at different links along the way.
Physical Layer
The Physical Layer is responsible for literally moving Data Link data-
grams bit by bit over the links and between network elements. The protocols
here depend on and use the characteristics of the link medium and the signals
on the medium. For the remainder of this book, we will use TCP/IP model
used by the Internet.

Chapter 6
Anatomy of the Problem
You have to do something to raise their level of awareness that they
cannot be victims.—Kevin Mitnick
• Understand computer network infrastructure weaknesses and vulnerabilities.
• Learn the major computer network attacks.
• Articulate the daily problems faced by computer network system adminis-
trators.
• Articulate the enormous problems faced by the security community in pro-
tecting the information infrastructure.
• Understand the role of computer users in protecting cyberspace.
The computer security breaches that included the much-debated distrib-
uted denial of service (DDoS) attacks, some of which were attributed to a
Canadian teen masquerading in cyberspace as “Maﬁaboy,” the Philippine-
generated “Love Bug,” and the “Killer Resume” e-mail attacks that wreaked
havoc on world computer networks, were, in addition to being attention-
grabbing headlines, loud wake-up bells. Not only did these incidents expose
law enforcement agencies’ lack of expertise in digital forensics, they also alerted
a complacent society to the weaknesses in the computer network infrastruc-
ture, the poor state of the nation’s computer security preparedness, the little
knowledge many of us have about computer security and the lack of efforts to
secure computer system infrastructure at that time.1
They also highlighted
the vulnerability of cyberspace businesses including critical national infra-
structures like power grids, water systems, ﬁnancial institutions, communica-
tion systems, energy, public safety, and all other systems run by computers
that foreign governments or cyber terrorists could attack via the Internet.
60

In fact, the “Love Bug’s” near-lightning strike of global computers, its
capacity to penetrate the world’s powerful government institutions with
impunity, though by its very origin very unsophisticated, and the easy and
rapid spread of the “Killer Resume” virus, although it attacked during off-peak
hours, showed how easy it was and still is to bring the world’s computer infra-
structure and all that depend on it to a screeching stop. They also demonstrated
how the world’s computer networks are at the mercy of not only affluent pre-
teens and teens, as in the case of Maﬁaboy, but also of the not so affluent, as
in the case of the Philippine “Love Bug” creator. With national critical systems
on the line, sabotage should no longer be expected to come from only known
high-tech and rich countries but from anywhere, the ghettos of Manila and
the jungles of the Amazon included.
As computer know-how and use spreads around the world, so do the dan-
gers of computer attacks. How on earth did we come to this point? We are a
smart people that designed the computer, constructed the computer commu-
nication network, and developed the protocols to support computer commu-
nication, yet we cannot safeguard any of these jewels from attacks, misuse, and
abuse. One explanation might be rooted in the security ﬂaws that exist in the
computer communication network infrastructures, especially the Internet.
Additional explanations might be: users’ and system administrators’ limited
knowledge of the infrastructure, society’s increasing dependence on a system
whose infrastructure and technology it least understands, lack of long-term
plans and mechanisms in place to educate the public, a highly complacent
society which still accords a “whiz kid” status to cyber vandals, inadequate
security mechanisms and solutions often involving no more than patching
loopholes after an attack has occurred, lack of knowledge concerning the price
of this escalating problem, the absence of mechanisms to enforce reporting of
computer crimes (which is as of now voluntary, sporadic, and haphazard), and
the fact that the nation has yet to understand the seriousness of cyber vandal-
ism. A detailed discussion of these explanations follows.
Computer Network Infrastructure
Weaknesses and Vulnerabilities
The cyberspace infrastructure, as we studied in Chapter 1, was developed
without a well-conceived or understood plan with clear blueprints, but in reac-
tion to the changing needs of developing communication between computing
elements. The hardware infrastructure and corresponding underlying proto-
cols suffer from weak points and sometimes gaping loopholes partly as a result
of the infrastructure’s open architecture protocol policy. This policy, coupled
6—Anatomy of the Problem 61

with the spirit of individualism and adventurism, gave birth to the computer
industry and underscored the rapid, and sometimes motivated, growth of the
Internet. However, the same policy acted as a magnet, attracting all sorts of
people to the challenge, adventurism, and fun of exploiting the network’s vul-
nerable and weak points.
Compounding the problem of open architecture is the nature and
processes of the communication protocols. The Internet, as a packet network,
works by breaking data to be transmitted into small individually addressed
packets that are downloaded on the network’s mesh of switching elements.
Each individual packet finds its way through the network with no predeter-
mined route and is used in the reassembling of the message by the receiving
element. Packet networks need a strong trust relationship among the trans-
mitting elements. Such a relationship is actually supported by the communi-
cation protocols. Let us see how this is done.
Computer communicating elements have almost the same etiquette as
us. For example, if you want a service performed for you by a stranger, you
first establish a relationship with the stranger. This can be done in a number
of ways. Some people start with a formal “Hello, I’m…” then, “I need…” upon
which the stranger says “Hello, I’m…” then, “Sure I can….” Others carry it fur-
ther to hugs, kisses, and all other techniques people use to break the ice. If the
stranger is ready to do business with you, then he passes this information to
you in the form of an acknowledgment to your first inquiry. However, if the
stranger is not ready to talk to you, you will not receive an acknowledgment
and no further communication may follow until the stranger is ready. At this
point, the stranger puts out a welcome mat and leaves the door open for you
to come in and start business. Now it is up to the initiator of the communi-
cation to start full communication.
When computers are communicating, they follow these etiquette patterns
and protocols and we call this procedure a handshake. In fact, for computers
it is called a three-way handshake. A three-way handshake, briefly discussed
in Chapter 5, starts with the client sending a packet called a SYN which con-
tains both the client and server addresses together with some initial informa-
tion for introductions. Upon receipt of this packet by the server’s open door,
called a port, the server creates a communication socket with the same port
number through which future communication will pass. After creating the
communication socket, the server puts the socket in queue and informs the
client by sending an acknowledgment called a SYN-ACK. The server’s com-
munication socket will remain open and in queue waiting for an ACK from
the client and data packets thereafter. As long as the communication socket
remains open and as long as the client remains silent, not sending in an ACK,
the communication socket is half open and it remains in the queue in the

server memory. During this time, however, the server can welcome many more
clients that want to communicate, and communication sockets will be opened
for each. If any of their corresponding clients do not send in the ACK, their
sockets will remain half open and also queued. Queued half-open sockets can
stay in the queue for a specific time interval after which they are purged.
The three-way handshake establishes a trust relationship between the
sending and receiving elements. However, network security exploits that go
after infrastructure and protocol loopholes do so by attempting to undermine
this trust relationship created by the three-way handshake. A discussion of the
infrastructure protocol exploits and other operating system specific attacks
follows.
IP-Spoofing
Internet Protocol spoofing (IP-spoofing) is a technique used to set up an
attack on computer network communicating elements by altering the IP
addresses of the source element in the data packets by replacing them with
bogus addresses. IP-spoofing creates a situation that breaks down the normal
trust relationship that should exist between two communicating elements. IP,
as we saw in Chapter 5, is the connectionless, unreliable network protocol in
the TCP/IP suite charged with routing packets around the network. In doing
its job, IP simply sends out datagrams (data packets) with the hope that, with
luck, the datagrams will make it to the destination intact. If the datagrams do
not make it all the way to the destination, IP sends an error message back to
the sending element to inform it of the loss. However, IP does not even guar-
antee that the error message will arrive to the sending element. In fact, IP does
not have any knowledge of the connection state of any of the datagrams it has
been entrusted with to route through the network. In addition, IP’s datagrams
are quite easy to open, look at and modify allowing an arbitrarily chosen IP
address to be inserted in a datagram as a legitimate source address.
These conditions set the stage for IP-spoofing by allowing a small number
of true IP addresses to be used bogusly by a large number of communicating
elements. The process works as follows: one communicating element intercepts
IP datagrams, opens them and modifies their source IP addresses and forwards
them on. Any other switching element in the network that gets any of these
datagrams maps these addresses in its table as legal source IP addresses, and
uses them for further correspondence with the “source” elements with those
bogus addresses. IP-spoofing, as we will soon see, is a basic ingredient in many
types of network attacks.

SYN Flooding
SYN flooding is an attack that utilizes the breakdown in the trust rela-
tionship between two or more communicating elements to overwhelm the
resources of the targeted element by sending huge volumes of spoofed packets.
SYN flooding works as follows. Recall that when a client attempts to establish
a TCP connection to a server, the client and server first exchange packets of
data in a three-way handshake. The three-way handshake creates a half-open
connection while the server is waiting for an ACK packet from the client. See
Figure 6.1 for a TCP SYN and ACK-SYN exchange in a three-way handshake.
During this time, however, other communicating elements may start their own
three-way handshakes. If none of the clients send in their respective ACKs,
the server queue of half-open connection sockets may grow beyond the server
system memory capacity and thus create a memory overflow. When a server
memory overflow occurs, a couple of things happen to the server. In the first
instance, the server table grows huge and for each new SYN request, it takes
Figure 6.1 TCP SYN and ACK-SYN Exchanges in a Three-way Handshake

a lot of time for the server to search the table, thus increasing the system
response time. Also, as the response time grows and the buffer ﬁlls up, the
server starts to drop all new packets directed to it. This server state can be
maliciously brought about intentionally by selecting a victim server and bom-
barding it with thousands of SYN packets each with what appears to be legit-
imate source IP addresses. However, these are usually bogus IP addresses with
no existing client to respond to the server with an ACK. Although the queued
half-open connections have a time slice quantum limit beyond which they are
automatically removed from the queue, if the rate at which new incoming
SYN connections are made is higher than the rate that the half-open connec-
tions are removed from the queue, then the server may start to limp. If the
attacking clients simply continue sending IP-spoofed packets, the victim server
will succumb to the avalanche and crash. Figure 6.2 shows a TCP SYN ﬂood-
Figure 6.2 TCP SYN Flooding

ing. SYN flooding does not only affect one victim’s server. It may also ripple
through the network creating secondary and subsequent victims.
SecondaryandsubsequentvictimsarecreatedbymakingsourceIPaddresses
appear to come from legitimate domains whose addresses are in the global
routing tables. Those legitimate machines with forged IP addresses become
secondary victims because the first victim server unknowingly sends them
SYN-ACKs. The victims may reply to the unsolicited SYN-ACKs by themselves
sending an ACK to the victim server, therefore, becoming victims themselves.
Sequence Numbers Attack
Two of the most important fields of a TCP datagram, shown in Figure
6.4, are the sequence number field and the acknowledgment field. The fields
are filled in by the sending and receiving elements during a communication
session. Let us see how this is done. Suppose client A wants to send 200 bytes
of data to server B using 2-byte TCP packets. The packets A will send to B
are shown in Figure 6.3.
The first packet A will send to B will have two bytes, byte 0 and byte 1,
and will have a sequence number 0. The second packet will have bytes 2 and
Figure 6.3 Sequencing of TCP Packets
Figure 6.4 TCP Packet Structures with Initial and Acknowledgment Sequence
Numbers

3 and will be assigned sequence number 2. Note that the sequence number is
not the byte number but the first byte number in each packet. Upon receipt
of the packets from A, B will send acknowledgments to A with an acknowl-
edgment number. Recall TCP is a full-duplex communication protocol, mean-
ing that during any communication session, there is a simultaneous two-way
communication session during which A and B can talk to each other without
one waiting for the other to finish before it can start. B acknowledges A’s pack-
ets by informing A of the receipt of all the packets except the missing ones.
So in this case B sends an ACK packet with an acknowledgment number and
its own sequence number, which is the next number to the last sequence num-
ber it has received. For example, suppose A has sent packets with sequence
numbers 0, 1, 2, …, 15, B will send an acknowledgment of these packets through
sequence number15 with acknowledgment number 16.
Figure 6.4 shows a TCP Packet structures with initial and acknowledg-
ment sequence numbers.
Figure 6.5 shows a TCP connection session using sequence numbers
(SNs) and acknowledgment numbers(ACNs).
The initial sequence number (ISN) is supposed to be random and sub-
sequent numbers are incremented by a constant based on time (usually sec-
onds) and connection (RFC 793).
The initial sequence number attack is a technique that allows an attacker
to create a one-way TCP connection with a target element while spoofing
another element by guessing the TCP sequence numbers used. This is done
by the attacker intercepting the communication session between two or more
communicating elements and then guessing the next sequence number in a
communication session. The intruder then slips the spoofed IP addresses into
Figure 6.5 A TCP Connection Session

packets transmitted to the server. The server sends an acknowledgment to the
spoofed clients. Let us illustrate such an attack in Figure 6.6.
However, it is possible for client A to realize that server B is actually
acknowledging a packet that A did not send in the ﬁrst place. In this case, A
may send a request (RST) to B to bring down the connection. However, this
is possible only if A is not kept busy, and this is how the exploit occurs. The
trick is to send a smurf attack on A to keep A as busy as possible so that it does
not have time to respond to B with an RST. In this case then, the intruder suc-
cessfully becomes a legitimate session member with server B.
Scanning and Probing Attacks
In a scanning and probing attack, the intruder or intruders send large
quantities of packets from a single location. The activity involves mostly a Tro-
jan horse remote controlled program with a distributed scanning engine that
Figure 6.6 Initial Sequence Number Attack

is configured to scan carefully selected ports. Currently, the most popular ports
are port 80, used by World Wide Web applications, port 8080, used by World
Wide Web proxy services, and port 3128, used by most common squid proxy
services.
Low Bandwidth Attacks
A low bandwidth attack starts when a hacker sends a low volume, inter-
mittent series of scanning or probing packets from various locations. The
attack may involve several hackers from different locations, all concurrently
scanning and probing the network for vulnerabilities. Low bandwidth attacks
can involve as few as five to ten packets per hour, from as many different
sources.
Session Attacks
Many other types of attacks target sessions already in progress and break
into such sessions. Let us look at several of these, namely packet sniffing, buffer
overflow, and session hijacking.
A packet sniffer is a program on a network element connected to a net-
work to passively receive all Data Link Layer frames passing through the
device’s network interface. This makes all hosts connected to the network pos-
sible packet sniffers. If host A is transmitting to host B and there is a packet
sniffer in the communication path between them, then all data frames sent
from A to B and vice versa are “sniffed.” A sniffed frame can have its content,
message, and header altered, modified, even deleted and replaced. For example,
in a network element in a local area network (LAN) with Ethernet protocols,
if the network card is set to promiscuous mode, the interface can receive all
passing frames. The intercepted frames are then passed over to the Application
Layer program to extract any type of data the intruder may have an interest
in. Figure 6.7 shows how packet sniffing works.
A buffer overflow is an attack that allows an intruder to overrun one or
more program variables making it easy to execute arbitrary codes with the
privilege of the current user. Intruders usually target the root (the highest priv-
ileged user on the system). The problem is always a result of bad program cod-
ing. Such coding may include a program that lacks good string or buffer data
types in C, misuse of standard C library string functions, and if buffers are
used, not being able to check the size of the buffer whenever data is inserted
in the buffer. In a network environment, especially a UNIX environment,

buffer overﬂow can create serious security problems because an attacker can,
from anywhere, execute an attack on a system of choice.
Session hijacking may occur in several situations. For example, quite often
clients may desire services, like software stored at a server. In order to access
such services, the server may require the client to send authenticating infor-
mation that may include a password and username. In some cases, especially
where requests from a client are frequent, the server may store the user ID
with the access URL so that the server can quickly recognize the returning
user without going through an authentication exercise every time a request
comes from this client. Thus, a trust relationship is established. By doing this,
however, the server automatically opens up loopholes through which an
intruder, after sniffing the legitimate source IP address, can hijack a server
TCP session without the knowledge of either the server or the client. A more
common type of session hijacking is for the intruder to become a legal partic-
ipant by monitoring a session between two communicating hosts and then
injecting traffic that appears to be coming from those hosts. Eventually one of
the legitimate hosts is dropped, thus making the intruder legitimate. Another
type of session hijacking is known as blind hijacking, when an intruder guesses
the responses of the two communicating elements and becomes a fully trusted
participant without ever seeing the responses.
Session hijacking can take place even if the targeted communication ele-
ment rejects the source IP address packets. This is possible if the initial con-
nection sequence numbers can be predicted. Figure 6.8 illustrates a typical
session hijacking using initial connection sequence numbers (ISN).
Figure 6.7 Packet Sniffing

Distributed Denial of Service Attacks
Distributed denial of service (DDoS) attacks are generally classiﬁed as
nuisance attacks in the sense that they simply interrupt the services of the sys-
tem. System interruption can be as serious as destroying a computer’s hard
disk or as simple as using up all the system’s available memory. DDoS attacks
come in many forms but the most common are the Ping of Death, smurﬁng,
the teardrop, and the land.c.
Ping of Death
The Ping of Death is one of several possible Internet Control Message
Protocol (ICMP) attacks. The ICMP is an IP protocol used in the exchange
of messages. The IP-datagram encapsulates the ICMP message as shown in
Figure 6.9.
According to RFC-791, an IP packet including those containing ICMP
messages can be as long as 65,353 (216–1
) octets. An octet is a group of eight
Figure 6.8 Session Hijacking Using Sequence Numbers

items. When packets are bigger than the maximum allowable IP packet struc-
ture, such packets are fragmented into smaller products. ICMP ECHO_
REQUESTs are called pings. Normal network pings, as we have seen before,
are done by the server broadcasting ICMP ECHO_REQUEST packets every
second and waiting for a SIGALRM (short for signal alarm) packet signal
from the clients. A ping flood occurs when the client sends lots of SIGALRM
signals to the ping generator, in this case the server. The problem in this cat-
egory is partly the size of these SIGALRM packets. If the SIGALRM packets
sent by the client to the server are large and not fragmented into smaller pack-
ets, they can cause havoc. Large IP packets are known as the Ping of Death.
You see, when packets get larger, the underlying protocols that handle them
become less efficient. However, in normal data transmission, IP packets bigger
than the maximum size are broken up into smaller packets which are then
reassembled by the receiver.
Smurfing
A smurfing attack also utilizes the broken trust relationship created by
IP-spoofing. An offending element sends a large amount of spoofed ping pack-
ets containing the victim’s IP address as the source address. Ping traffic, also
called Protocol Overview Internet Control Message Protocol (ICMP) in the
Internet community, is used to report out-of-band messages related to network
operation or mis-operation such as a host or entire portion of the network
being unreachable, due to some type of failure. The pings are then directed to
a large number of network subnets, a subnet being a small independent net-
work like a LAN. If all subnets reply to the victim address, the victim element
receives a high rate of requests from the spoofed addresses as a result and the
element begins buffering these packets. When the requests come at a rate
exceeding the capacity of the queue, the element generates ICMP Source
Quench messages meant to slow down the sending rate. These messages are
then sent, supposedly, to the legitimate sender of the requests. If the sender is
legitimate, it will heed to the requests and slow down the rate of packet trans-
mission. However, in cases of spoofed addresses, no action is taken because all
Figure 6.9 IP-ICMP Packet

sender addresses are bogus. The situation in the network can easily deteriorate
further if each routing device takes part in smurfing.
Teardrop Attack
The teardrop attack exploits the fragmentation vulnerability mechanism
of ICMP ECHO_REQUEST packets just like the Ping of Death attacks.
However, the teardrop attack works by attacking the reassembling mechanism
of the fragmented IP packets resulting in overlapping fragments that often
lead targeted hosts to hang or crush altogether.2
Land.c Attack
The land.c attack is initiated by an intruder sending a TCP SYN packet
giving the target host’s addresses as both the source and destination addresses.
It also uses the host’s port number as both the source and destination ports.3
The techniques we have seen above are collectively known as distributed
denial of service (DDoS) attacks. Any system connected to the Internet and
using TCP and UDP protocol services like WWW, e-mail, FTP, and telnet
is potentially subject to this attack. The attack may be selectively targeted to
specific communicating elements or it might be directed to randomly selected
victims.
Although we seem to understand how the DDoS problems arise, we have
yet to come up with meaningful and effective solutions. What makes the search
for solutions even more elusive is the fact that we do not even know when a
server is under attack since the IP-spoofing connection requests, for example,
may not lead to a system overload. While the attack is going on, the system
may still be able to function satisfactorily establishing outgoing connections.
It makes one wonder how many such attacks are going on without ever being
detected, and what fraction of those attacks are ever detected.
Network Operating Systems and
Software Vulnerabilities
Network infrastructure exploits are not limited to protocols. There are
weaknesses and loopholes in network software that include network operating
systems, Web browsers, and network applications. Such loopholes are quite
often targets of aggressive hacker attacks like planting Trojan viruses, deliber-
ately inserting backdoors, stealing sensitive information, and wiping out files
from systems. Such exploits have become common. Let us look at some oper-
ating system vulnerabilities.

Windows NT and NT Registry Attacks
The Windows NT Registry is a central repository for all sensitive system
and configuration information. It contains five permanent parts, called hives,
that control local machine information such as booting and running the sys-
tem, information on hardware configuration data, resource usage, per-machine
software data, account and group databases, performance counters, and system-
wide security policies that include hashed passwords, program locations, pro-
gram default settings, lists of trusted systems, and audit settings. Almost all
applications added to the NT machine and nearly all security settings affect
the registry. The registry is a trove of information for attackers and it is a prime
target of many computer attacks. Common NT Registry attacks include
the L0pht Crack, the Chargen Attack, the SSPING/JOLT, and the RedBut-
ton.
The L0pht Crack works by guessing passwords on either the local or
remote machine. Once a hacker succeeds in guessing a password and gains
entry, the hacker then makes bogus passwords and establishes new accounts.
Now the attacker can even try to gain access to privileged access accounts.
The Chargen Attack is a malicious attack that may be mounted against
computers running Windows NT and 2000. The attack consists of a flood of
UDP datagrams sent to the subnet broadcast address with the destination port
set to 19 (chargen) and a spoofed source IP address. The Windows NT and
2000 computers running Simple TCP/IP services respond to each broad-
cast, creating a flood of UDP datagrams that eventually cripple the selected
server.
The SSPING/JOLT is a version of the old SysV and Posix implementa-
tions. It effectively freezes almost any Windows 95 or Windows NT connec-
tion by sending a series of spoofed and fragmented ICMP packets to the target.
A server running Windows 95/98/NT/2000 may crumble altogether. This is
a version of the Ping of Death attack we saw earlier targeted on computers
running Windows 95/98/NT/2000.
The RedButton allows an attacker of the NT Registry to bypass the tra-
ditional logon procedure that requires a valid username and password com-
bination, or the use of a guest account. The bug grants that user access to
intimate system information on an NT server without these requirements. It
does this by exploiting an alternate means of access to an NT system using an
anonymous account, which is normally used for machine-to-machine com-
munication on a network. This anonymous account gives a successful attacker
full access to all system resources available to an NT group named “everyone,”
that includes all system users.

UNIX
UNIX’s source code, unlike Windows NT, has been publicly released
for a long time. Its many flaws have been widely discussed and, of course,
exploited. This leads to the perception that Windows NT is actually more
secure—a false assumption. In fact, Windows NT has many of UNIX’s
flaws.
Knowledge of Users and
System Administrators
The limited knowledge computer users and system administrators have
about computer network infrastructure and the working of its protocols does
not help advance network security. In fact, it increases the dangers. In a
mechanical world where users understand the systems, things work differently.
For example, in a mechanical system like a car, if a car has fundamental mechan-
ical weaknesses, the driver usually understands and finds those weak points
and repairs them. This, however, is not the case with computer networks. As
we have seen, the network infrastructure has weaknesses, and this situation is
complicated when both system administrators and users have limited knowl-
edge of how the system works, its weaknesses and when such weaknesses are
in the network. This lack of knowledge leads to other problems that further
complicate network security. Among such factors are the following:
• Network administrators do not use effective encryption schemes and
do not use or enforce a sound security policy.
• Less knowledgeable administrators and users quite often use blank
or useless passwords, and they rarely care to change even the good
ones.
• Users carelessly give away information to criminals without being
aware of the security implications. For example, Kevin Mitnick, a
notorious hacker, claims to have accessed the Motorola company com-
puter network by persuading company employees to give up passwords
on the pretext that he was one of them.4
This very example illustrates
the enormous task of educating users to be more proactive as far as
computer security is concerned.
• Network administrators fail to use system security filters. According
to security experts, network servers without filters “are the rule rather
than the exception.”

Society’s Dependence on Computers
All the problems we have discussed so far are happening at a time when
computer and Internet use are on the rise. Computer dependency is increasing
as computers increasingly become part of our everyday lives. From Wall Street
to private homes, dependency on computers and computer technology shows
no signs of abating. As we get more and more entangled in a computer driven
economy, very few in society have a sound working knowledge and under-
standing of the basics of how computers communicate and how e-mail and
Internet surfing work. Indeed, few show any interest in learning. This has
always been the case with the technology we use every day. From the business
point of view, technology works better and is embraced faster if all its com-
plexities are transparent to the user, and therefore, user-friendly. Few of us
bother to learn much about cars, televisions, washers and dryers, or even faucets
and drains, because when they break down and need fixing, we always call in
a mechanic, a technician, or a plumber! What is so different about computers
and computer networks?
What is different is the enormous amount of potential for abuse of com-
puters and computer networks—and the possibility of damage over vast
amounts of cyberspace.
Lack of Planning
Despite the potential for computer and computer network abuses to
wreak havoc on our computer dependent society, as demonstrated by the “Love
Bug” and the “Killer Resume” viruses, there are few signs that we are getting
the message and making plans to educate the populace on computer use and
security. Besides calling on the FBI to hunt abusers down and apprehend them,
uring the courts to prosecute and convict them to the stiffest jail sentences
possible to send a signal to other would-be abusers, and demanding tougher
laws, there is nothing on the horizon. There is no clear plan or direction, no
blueprint to guide the national efforts in finding a solution; very little has
been done on the education front.
Complacent Society
When the general public holds some specialty in high regard, usually it
is because the public has little knowledge of that specialty. The less knowledge
we possess in some field, the more status we accord to those whose knowledge

is great. I have little knowledge of how satellites are guided in the emptiness
of space or how to land one on an outer space object in a specific preselected
spot millions of miles away, so I really respect space scientists. However, when
my bathroom faucet leaks, I can fix it in a few hours; therefore, I do not have
as much respect for plumbers as I do for space scientists.
The same reasoning applies to computer users concerning computers and
how they work. The public still accords “whiz kid” status to computer vandals.
Do we accord them that status because they are young and computer literate
and few of us used computers at their age, or because we think that they are
smarter than we are? Not only do we admire the little vandals, but we also
seem mesmerized with them and their actions do not seem to register on the
radar, at least not yet. This is frightening, to say the least.
Inadequate Security Mechanisms
and Solutions
Although computer network software developers and hardware manu-
facturers have tried to find solutions to the network infrastructure and related
problems, sound and effective solutions are yet to be found. In fact, all solutions
that have been provided so far by both hardware and software manufacturers
have not really been solutions but patches. For example, when the distributed
denial of service (DDoS) attack occurred, Cisco, one of the leading network
router manufacturers, immediately, through its vendors, issued patches as solu-
tions to DDoS attacks. This was followed by IBM, another leading router
manufacturer; a few others followed the examples of the industry leaders.
More recently, when both the “Love Bug” and the “Killer Resume” viruses
struck e-mail applications on global networks, Microsoft, the developer of
Outlook, which was the main conduit of both viruses, immediately issued a
patch. These are not isolated incidents but a pattern of the computer industry’s
two major component manufacturers.
A computer communication network is only as good as its weakest hard-
ware link and its poorest network protocol. In fact, infrastructure attacks like
those outlined above have no known fixes. For example, there is no known
effective defense against denial of service attacks. Several hardware manufac-
turers of network infrastructure items like routers and other switches have, in
addition to offering patches, recommend to their customers that they boost
the use of filters. Few of these remedies have worked effectively so far.
These best known security mechanisms and solutions, actually half solu-
tions to the network infrastructure problems, are inadequate at best. More
effective solutions to the network protocol weaknesses are not in sight. This,

together with the FBI and other law enforcement agencies not being able to
apprehend all perpetrators, highlights an urgent need for a solution that is
still elusive. Yet, the rate of such crimes is on the rise. With such a rise, law
enforcement agencies are trying to cope with the epidemic, limited as they
are, with lack of modern technology. Michael Vatis, director of the FBI’s
National Infrastructure Protection Center, testifies to this when he says that
due to limited capacity, attacks like spoofing make it very difficult for law
enforcement to determine where an attack originates.5
This explains why the
FBI took so long to apprehend the recent cyber vandals of the DDoS attacks.
Vatis, like many, sees no immediate solution coming from either the technology
or the FBI and he proposes two possible solutions:
(i) enabling civilians not bound by the Fourth Amendment to conduct
investigations and
(ii) somehow defeating spoofing with better technology. None of his solu-
tions is feasible yet.
Poor Reporting of a Growing Epidemic
of Computer Crimes
Franz-Stefan Gady (2011) reports that data from the Norton Cyber
Crime Report for 2011 show that 431 million adults worldwide were victims
of cybercrime in 2010. The total cost of those crimes was north of $114 billion.
However, data like this, routinely reported across the globe, is misleading.
Because, that is not the true maginitude of the problem. We are falling short
of the actual comprehensive picture of cybercrime data in assessing the true
scale and scope of cybercrime. The main reason is that businesses, which are
the main target of most cybercrimes, are reluctant to voluntarily report inci-
dences of attacks and intrusions because of internal fear of sometimes critical
business data exposure and a show of internal business weakness. According
to reports, two-thirds of computer firms do not report hacker attacks.6
Accord-
ing to a U.S. Senate report on security in cyberspace, many government depart-
ments, including Defense, have no mandatory reporting.7
It is even worse when
it comes to detection and intrusion. According to the same report, the Defense
Information Systems Agency (DISA), an agency that performs proactive vul-
nerability assessments of the Defense Department computer networks, pen-
etrated 18,200 systems and only five percent of those intrusions were detected
by system administrators. And of the 910 systems users that detected the intru-
sions, only 27 percent reported the intrusions to their superiors.8
In addition,
even if businesses were to report, it is difficult for us to verify their statements.

We cannot fight this tide of cybercrime without having a clean picture and
understanding of its true impact on the world economy.
Meanwhile headline-making vandals keep on striking, making more and
more daring acts with impunity. Although the Internet Fraud Complaint Cen-
ter—a partnership between the FBI and NW3C (funded by BJA), established
in 2000 and later changing its name to the Internet Crime Complaint Center
(IC3)—fights to address the ever-increasing incidence of online fraud and
encourages victims of Internet crime to report all incidents, thousands of
attacks are still not reported, making the number of reported cybercrimes
tracked by IC3 and local enforcement authorities way below the actual num-
bers of cybercrimes committed.
Similar numbers are probably found in the private sector. In a study by
the Computer Security Institute (CSI), 4,971 questionnaires were sent to
information security practitioners, seeking information on system intrusions
and only 8.6 percent responded. Of those responding, only 42 percent admit-
ted that intrusions ever occurred in their systems.9
This low reporting rate can
be attributed to a number of reasons including the following:
• Many of those who would like to report such crimes do not do so
because of the economic and psychological impact such news would
have on shareholder confidence and on their company’s reputation.
Customer confidence is a competitive advantage and losing it could
spell financial ruin for a company. Some companies are reluctant to
report any form of computer attacks on their systems for fear that
company management will be perceived as weak and having poor secu-
rity policies.
• There is little to no interest in reporting.
• Most law enforcement agencies, especially the FBI, do not have the
highly specialized personnel needed to effectively track down intrud-
ers. Those few highly trained professionals that do exist, however, are
overworked and underpaid according to an ABC report.10
• Companies and businesses hit by cyber vandalism have little faith in
law enforcement agencies, especially the FBI, because they think the
FBI, in its present state and capacity, can do little. The burden to catch
and apprehend cyber criminals is still on the FBI. This explains why
there has been slow progress in apprehending the perpetrators of the
recent denial of service and “Love Bug” attacks.
The FBI’s problems are perpetuated by the fact that the law has not kept
up with technology. According to an ABC News report, the FBI cannot
quickly and readily share evidence of viruses and attack programs with private

companies that have the capacity and technical know-how. By the time private
industry gets hold of such evidence, the tracks left by the intruders are cold.
The law enforcement situation is even more murky on a global scale. The
global mosaic of laws, political systems, and law enforcement capacity make
badly needed global efforts even more unattainable.
Also, current wiretap laws were designed for lengthy surveillance in one
place in order to build a case. And, if there is cause to track down a perpetrator,
a court order must be sought in every judicial district, which takes time and
may lead to evidence getting altered or destroyed altogether. However, cyber
attacks that are quick and can instantaneously have a global reach cannot be
monitored from one place, and evidence cannot wait for court orders. This
problem was highlighted in the attempted arrest of the authors of the “Love
Bug.” It took two days to even attempt to arrest a suspect because there were
no computer crime laws on the books in the Philippines. So a judge could not
issue an arrest warrant quickly. National laws have to be amended to make it
easier to pursue attackers. To be effective, such laws must, among other things,
allow investigators to completely trace an online communication to its source
without seeking permission from each jurisdiction. More money must be allo-
cated to hire prosecutors and analysts and to improve the research capability
of all law enforcement agencies. In addition, there must be continuous training
of the latest developments in digital forensics for those already in law enforce-
ment agencies. If all these are put in place, then we will be on the way to making
cyberspace safer for all.
Although the network infrastructure weaknesses we have discussed in
this chapter seem simple, finding solutions will not be easy and it is an ongoing
exercise of interest to lawmakers, law enforcement agencies, and the network
community. The Holy Grail is to find a final solution to the dreaded computer
network security problems. If we succeed, the solution will not last long, for
the following reasons:
• The cyberspace infrastructure technology is constantly changing,
adding new technologies along the way, and as new technologies are
added, new loopholes and, therefore, new opportunities are created
for cyber vandals.
• Solutions to social and ethical problems require a corresponding
change in the legal structures, enforcement mechanisms, and human
moral and ethical systems. None of these can change at the speed tech-
nology is changing. Pretty soon, any solution will be useless and we
will be back to square one.
• As yet, there is no national or multinational plan or policy that can
withstand the rapid changes in technology and remain enforceable.

• Most importantly, solutions that do not take into account and are not
part of a general public education plan, do not stand a chance of lasting
for any extended period of time. For any solution to the computer
network security problem to last, public education and awareness are
critical.
A workable and durable solution, if found, must include the following:
• Public awareness and understanding of the computer network infra-
structure threats, its potential consequences and its vulnerabilities.
We cannot rely on education acquired from science-ﬁction novels.
Otherwise, when such attacks really occur, the public may take them
to be science-ﬁction events.
• A well-developed plan based on a good policy for deterrence.
• A clear plan, again based on good and sound policy, for rapid and
timely response to cyber attacks.

Chapter 7
Enterprise Security
Cybercrimes and other information-security breaches are widespread
and diverse.—Patrice Rapalus, director of the Computer Security
Institute
• Describe trends in computer crimes and information infrastructure pro-
tection.
• Describe and discuss the types and techniques of computer attacks.
• Understand computer attack motives.
• Discuss the most common information security flaws.
While Gibson’s vision of cyberspace, as discussed in Chapter 5, captures
the essence of cyberspace as a three-dimensional network of computers with
pure information moving between these computers, the definition itself is not
inclusive enough because it does not specifically tell us the small details that
make up cyberspace. Let us examine that now here by giving an expanded defi-
nition of cyberspace to include all components that make the resources of
cyberspace. They include:
• hardware, like computers, printers, scanners, servers and communica-
tion media;
• software, including application and special programs, system backups
and diagnostic programs, and system programs like operating systems
and protocols;
• data in storage, transition, or undergoing modification;
• people, including users, system administrators, and hardware and soft-
ware manufacturers;
82

• documentation, including user information for hardware and software,
administrative procedures, and policy documents; and
• supplies, including paper and printer cartridges.
These six components comprise the major divisions of cyberspace
resources and together they form the cyberspace infrastructure and environ-
ment. Throughout this book, an attack on any one of these resources, therefore,
will be considered an attack on cyberspace resources.
Although all of these resources make up cyberspace, and any one of them
is a potential target for a cyberspace attack, they do not have the same degree
of vulnerability. Some are more vulnerable than others and, therefore, are
targeted more frequently by attackers. Cyberspace has brought about an
increasing reliance on these resources through computers running national
infrastructures like telecommunications, electrical power systems, gas and oil
storage and transportation, banking and finance, transportation, water supply
systems, emergency services that include medical, police, fire, and rescue, and,
of course, government services. These are central to national security, economic
survival, and the social well-being of people. Such infrastructures are deemed
critical because their incapacitation could lead to chaos in any country.
A cyberspace threat is an intended or unintended illegal activity, an
unavoidable or inadvertent event that has the potential to lead to unpre-
dictable, unintended, and adverse consequences on a cyberspace resource. A
cyberspace attack or e-attack is a cyberspace threat that physically affects the
integrity of any one of these cyberspace resources. Most cyberspace attacks
can be put in one of three categories: natural or inadvertent attacks, human
errors, or intentional threats.1
Natural or inadvertent attacks include accidents originating from natural
disasters like fire, floods, windstorms, lightning, and earthquakes. They usually
occur very quickly and without warning, and they are beyond human capacity,
often causing serious damage to affected cyberspace resources. Not much can
be done to prevent natural disaster attacks on computer systems. However,
precautions can be taken to lessen the impact of such disasters and to quicken
the recovery from the damage they cause.
Human errors are caused by unintentional human actions. Unintended
human actions are usually due to design problems. Such attacks are called mal-
functions. Malfunctions, though occurring more frequently than natural dis-
asters, are as unpredictable as natural disasters. They can affect any cyber
resource, but they attack computer hardware and software resources more. In
hardware, malfunctions can be a result of power failure or simply a power
surge, electromagnetic influence, mechanical wear and tear, or human error.
Software malfunctions result mainly from logical errors and occasionally from
7—Enterprise Security 83

human errors during data entry. Malfunctions resulting from logical errors
often cause a system to halt. However, there are times when such errors may
not cause a halt to the running program, but may be passed on to later stages
of the computation. If that happens and the errors are not caught in time, they
can result in bad decision making. A bad decision may cost an organization
millions of dollars.
Most cyberspace attacks are intentional, originating from humans, caused
by illegal or criminal acts from either insiders or outsiders. For the remainder
of this chapter we will focus on intentional attacks.
Types of Attacks
Because of the many cyberspace resources, the varying degrees of vulner-
abilities of these resources, the motives of the attackers, and the many topogra-
phies involved, e-attacks fall into a number of types. We will put these types
into two categories: penetration and denial of service attacks.
Penetration Attacks
Penetration attacks involve breaking into systems using known security
vulnerabilities to gain access to any cyberspace resource. With full penetration,
an intruder has full access to all of a system’s cyberspace resources or e-resources.
Full penetration, therefore, allows an intruder to alter data ﬁles, change data,
plant viruses, or install damaging Trojan horse programs into the system. It is
also possible for intruders, especially if the victim computer is on a network,
to use a penetration attack as a launching pad to attack other network resources.
According to William Stallings,2
there are three classes of intruders:
(i) Masquerader: This is a person who gains access to a computer system
using other peoples’ accounts without authorization.
(ii) Misfeasor: This is a legitimate user who gains access to system resources
for which there is no authorization.
(iii) Clandestine user: This is a person with supervisory control who uses
these privileges to evade or suppress auditing or access controls.
Penetration attacks can be local, where the intruder gains access to a com-
puter on a LAN on which the program is run, or global on a WAN like the
Internet, where an e-attack can originate thousands of miles from the victim
computer. This was the case in the “Love Bug” e-mail attack.
For a long time, penetration attacks were limited to in-house employee

generated attacks to systems and theft of company property. A limited form
of system break-in from outsiders started appearing in the early 1970s when
limited computer network communication became available. But as long as
the technology was still in the hands of the privileged few, incidents of outsider
system penetration were few. The first notable system penetration attack actu-
ally started in the mid–1980s with the San Francisco–based 414-Club. The
414-Club was the first national news-making hacker group. The group named
themselves 414 after the area code. They started a series of computer intrusion
attacks using a Stanford University computer to spread the attack across the
country.3
From that small, but history-making attack, other headline-making
attacks from Australia, Germany, Argentina and the United States followed.
Ever since, we have been on a wild ride. There are three types of penetration
attacks: viruses, non-virus malicious attacks from insiders, and non-virus mali-
cious attacks from outsiders.
Viruses
Because viruses comprise a very big percentage of all cyberspace attacks,
we will devote some time to them here. The term virus is derived from the
Latin word virus, which means poison. For generations, even before the birth
of modern medicine, the term remained mostly in medical circles and was
used to refer to a foreign agent that injected itself into a living body, where it
would feed, grow and multiply. As a virus reproduces itself in a host’s body, it
spreads throughout the body slowly disabling the body’s natural resistance to
foreign objects and weakening the body’s ability to perform needed life func-
tions, eventually causing serious, sometimes fatal, effects to the body.
A computer virus, defined as a self-propagating computer program
designed to alter or destroy a computer system resource, follows almost the
same pattern but instead of using a living body, it uses software to attach itself,
grow, reproduce, and spread. As it spreads in the new environment, it attacks
major system resources that include the surrogate software itself, data, and
sometimes hardware, weakening the capacity of these resources to perform
the needed functions and eventually bringing the system down.
The word virus was first assigned a nonbiological meaning in the 1972
science fiction stories about the G.O.D. machine that were compiled in the
book When Harly Was One by David Gerrod (Ballantine Books, 1972). In the
book, according to Karen Forcht, the term was first used to describe a piece
of unwanted computer code.4
Later, association of the term with a real world
computer program was made by Fred Cohen, then a graduate student at the

University of Southern California. Cohen wrote five programs, actually
viruses, to run on a VAX 11/750 running UNIX, not to alter or destroy any
computer resources, but for class demonstration. During the demonstration,
each virus obtained full control of the system within an hour.5
Since this simple and rather harmless beginning, computer viruses have
been on the rise. In fact, the growth of the Internet together with massive news
coverage of virus incidents have caused an explosion of all types of computer
viruses from sources scattered around the globe, with newer attacks occurring
at faster speeds than ever before. For more about the history and development
of the computer virus the reader is referred to an extended discussion in Karen
Forcht’s book, Computer Security Management (Boyd and Fraser, 1994).
Where do computer viruses come from? Just like human viruses, they are
contracted when there is an encounter with a species that already has the virus.
There are four main sources of viruses: movable computer disks like floppies,
zips, and tapes; Internet downloadable software like beta software, shareware,
and freeware; e-mail and e-mail attachments; and platform-free executable
applets, like those Java language applets.
Although movable computer disks used to be the most common way of
sourcing and transmitting viruses, new Internet technology has caused this to
decline. Viruses sourced from movable computer disks are either boot viruses
or disk viruses.
Boot viruses attack boot sectors on both hard and floppy disks. Disk sec-
tors are small areas on a disk that the hardware reads in single chunks. For
DOS formatted disks, sectors are commonly 512 bytes in length. Disk sectors,
although invisible to normal programs, are vital for the correct operation of
computer systems because they form chunks of data the computer uses. A boot
sector is the first disk sector or first sector on a disk or diskette that an operating
system is aware of. It is called a boot sector because it contains an executable
program the computer executes every time the computer is powered up.
Because of its central role in the operations of computer systems, the boot sec-
tor is very vulnerable to virus attacks and viruses use it as a launching pad to
attack other parts of the computer system. Viruses like this sector because
from it they can spread very fast from computer to computer, booting from
that same disk. Boot viruses can also infect other disks left in the disk drive
of an infected computer.
Whenever viruses do not use the boot sector, they embed themselves, as
macros, in disk data or software. A macro is a small program embedded in
another program and executes when that program, the surrogate program,
executes. Macro viruses mostly infect data and document files like Microsoft
Word, templates, spreadsheets, and database files. All the following applica-
tions, for example, contain language which allow the introduction of macro

viruses: Microsoft Word, Excel, Lotus 1–2-3, and Quattro Pro. Macro viruses
spread only within these speciﬁc environments, and the speed with which they
spread depends on the frequency of use of the infected documents in those
applications. Examples of macro viruses are many including several varieties
of the “Concept” virus and the “Nuclear” virus.
The advent of the Internet has made downloadable software the second
most common source of viruses. Downloadable software include all down-
loadable types of software like freeware, shareware, and beta software. These
types of software may have self-extracting viruses deliberately or accidentally
implanted in them. Besides e-mail attachments, this is now the second fastest
way to spread viruses. There are thousands of sites offering thousands of free-
ware, shareware, and beta software everyday. So, if a virus is embedded into
any one of these, it is likely to spread very far, wide, and fast.
Currently, the most common sources of computer viruses are e-mail and
e-mail attachments. This was demonstrated recently by “Melissa,” “Love Bug,”
and “Killer Resume.” All three viruses were embedded in e-mail attachments.
One reason e-mail and e-mail attachments are popular is because more than
50 percent of all Internet traffic is e-mail, so virus developers see it as the best
vehicle for transmitting their deadly payloads.
The newest and perhaps fastest-growing virus carrier is the Java applet.
The Java Programming Language uses a Java applet to compile the source code
on its Java machine and then migrate execution to a local browser. As Web
pages become more animated, applets are becoming the medium of choice for
virus transmission. There are some disadvantages to using Java applets as virus
conduits that still keep this method of spreading viruses low-key. Applets
are more complicated and one needs more expertise to create a virus and
embed it in an applet other than one’s own. And probably the most inter-
esting disadvantage is that Java applets do not, as yet, have the capability to
write to your machine’s disk or memory; they simply execute in your browser.
Until they acquire such capabilities, their ability to carry viruses remains lim-
ited.
Let us now consider how viruses are transmitted. In order for a computer
virus to infect a computer it must have a chance to be transmitted and
deposited in a good location where it can execute its code. The transmission
of these viruses has improved as computer technology improved. In those days
when computers were stand-alone and computer networks were a preserve of
the lucky few, computer viruses used to be transmitted by passing infected
ﬂoppy disks from one computer to another. The fully blown use of computer
network communication, and the easy and almost universal access to the Inter-
net have transformed and transcribed new methods of virus transmission. The
proliferation of networking technologies, new developments in home personal

Ethernet networks, and the miniaturization of personal computers have
resulted in new and faster virus transmission and exchange techniques. This
is no better example than the successful transmission of the “Love Bug” e-mail
virus that circumvented the globe in a mere 12 hours.
When a fertile environment is found by a downloaded virus, it attaches
itself to a surrogate software or a safe location where it executes its code, mod-
ifying legitimate system resources so that its code is executed whenever these
legitimate system resources are either opened or executed. Such resources may
include the disk boot sector, which contains the code that is executed whenever
the disk is used to boot the system, and other parts of the disk that contain
software or data or other computer resources like memory. In non-boot sectors,
the virus hides in software or data as macros, which are executed whenever
documents on the disk are opened with the relevant application.
The downloaded virus, depending on the type and motive, can either be
immediately active or can lie dormant for a specified amount of time waiting
for an event to activate it. An active virus hidden in a computer resource can
copy itself straight away to other files or disks, thus increasing its chances of
infection. The speed at which the virus spreads depends not only on the speed
of the network and transmission media but also on how fast and long it can
replicate unnoticed. Most viruses go undetected for long periods of time. In
fact, a lot of viruses manage to go undetected by either injecting themselves
deep into legitimate code or disabling many of the code’s options that would
cause it to be detected. When they succeed in injecting themselves into a good
hiding place, they may lie dormant for extended periods waiting for a trigger
event to occur. The effects of a virus payload can range from harmless messages,
data corruption and attrition to total destruction.
There are three ways viruses infect computer systems. The first of these
is boot sector penetration. As we have seen in the previous section, a boot sec-
tor is usually the first sector on every disk. In a boot disk, the sector contains
a chunk of code that powers up a computer, as we have already discussed. In
a non-bootable disk, the sector contains a File Allocation Table (FAT), which
is automatically loaded first into computer memory to create a roadmap of
the type and contents of the disk for the computer to use when accessing the
disk. Viruses imbedded in this sector are assured of automatic loading into
the computer memory. This is a very insidious way of system memory pene-
tration by viruses.
The second method of infection is macros penetration. Since macros are
small language programs that can only execute after imbedding themselves
into surrogate programs, their penetration is quite effective. They are becom-
ing popular because modern system application programs are developed in
such a way that they can accept added user macros. The virus uses the added

loophole to penetrate and utilize the built-in macro language specific to some
popular products such as Microsoft Office.
Parasites are the third method of infection. These are viruses that do not
necessarily hide in the boot sector, or use an incubator like the macros, but
attach themselves to a healthy executable program and wait for any event where
such a program is executed. These days, due to the spread of the Internet, this
method of penetration is the most widely used and the most effective. Exam-
ples of parasite viruses include “Friday the 13th” and “Michelangelo” viruses.
Once a computer attack, most often a virus attack, is launched the attack-
ing agent scans the victim system looking for a healthy body for a surrogate.
If one is found, the attacking agent tests to see if it has already been infected.
Viruses do not like to infect themselves, hence, wasting their energy. If an
uninfected body is found, then the virus attaches itself to it to grow, multiply,
and wait for a trigger event to start its mission. The mission itself has three
components:
(i) to look further for more healthy environments for faster growth, thus
spreading more;
(ii) to attach itself to any newly found body; and
(iii) once embedded, either to stay in the active mode ready to go at any
trigger event or to lie dormant until a specific event occurs.
Not only do virus sources and methods of infection differ, but the viruses
themselves are also of several different types. In fact, one type called a worm
is actually not a virus at all, though the differences between a worm and a virus
are few. They are both automated attacks, both self-generate or replicate new
copies as they spread, and both can damage any resource they attack. The main
difference between them, however, is that while viruses always hide in software
as surrogates, worms are stand-alone programs. The origin of a worm is not
very clear, but according to Peter J. Denning,6
the idea of a worm program
that would invade computers and perform acts directed by the originator really
started in 1975 in the science-fiction novel The Shockwave Rider by John Brun-
ner (mass market paperback, 1990). However, the first real worm program was
not written until early 1980 when John Shock and Jon Hupp, working at Xerox
Palo Alto Research Center, wrote a program intended to replicate and locate
idle workstations on the network for temporary use as servers.7
Since then,
worms have been on the rise. The most outstanding worm programs include
the “Morris” worm. Robert T. Morris, a computer science graduate student at
Cornell University, created and released perhaps the first headline-making
worm program from an MIT computer. Instead of the program living on one
infected computer, it created thousands of copies of itself on machines it

infected. It is assumed to have infected approximately 6,000 computers, a great
number in January 1990.8
A memory resident virus is more insidious, difficult to detect, fast spread-
ing, and extremely difficult to eradicate. Once in memory, most viruses in this
category simply disable a small part of or all of memory, making it unavailable
for the system to use. Because they attack the central storage part of a computer
system, memory resident viruses are considered to do the most damage to
computer systems. Once in memory, they attack any other program or data in
the system. There are two types of memory resident viruses: transient, the cat-
egory that includes viruses that are only active when the inflicted program is
executing, and resident, a brand that attaches itself via a surrogate software to
a portion of memory and remains active long after the surrogate program has
finished executing. Examples of memory resident viruses include all boot sector
viruses like the “Israel” virus.9
Error generating viruses launch themselves most often in executable soft-
ware. Once embedded, they attack the software, causing the software to gen-
erate errors. The errors can be either “hard” logical errors, resulting in a range
of faults from simple momentary misses to complete termination of the soft-
ware, or they can be “soft” logical errors which may not be part of the software
but just falsely generate errors causing the user to believe that the software has
developed errors.
Data and program destroyers are viruses that attach themselves to a soft-
ware and then use it as a conduit or surrogate for growth, replication, and as
a launch pad for later attacks to this and other programs and data. Once
attached to a software, they attack any data or program that the software may
come in contact with, sometimes altering, deleting, or completely destroying
the contents. Some simply alter data and program files; others implant foreign
codes in data and program files, yet others completely destroy all data and pro-
gram files that they come in contact with. If code is introduced in data files
that are used by thousands of users or data is altered or if removed from data
files used by many, the effects can be severe. Familiar data and program destroy-
ing viruses are “Friday the 13th” and “Michelangelo.”
Most deadly of all are the viruses known as system crushers. Once intro-
duced in a computer system, they completely disable the system. This can be
done in a number of ways. One way is to destroy the system programs like the
operating system, compilers, loaders, linkers, and others. Another approach
of the virus is to leave system software intact and to replicate itself filling up
system memory, rendering the system useless.
In contrast, a computer time theft virus is not harmful in any way to sys-
tem software and data. The goal of such a virus is to steal system time. The
intruder has two approaches to this goal. One approach is for the intruder to

first stealthily become a legitimate user of the system and then later use all the
system resources without any detection. The other approach is to prevent
other legitimate users from using the system by first creating a number of sys-
tem interruptions. This effectively puts other programs scheduled to run into
indefinite wait queues. The intruder then gains the highest priority, like a
super user with full access to all system resources. With this approach, system
intrusion is very difficult to detect.
While most viruses are known to alter or destroy data and programs,
there are a few that literally attack and destroy system hardware. These are
hardware destroyers, commonly known as killer viruses. Many of these viruses
work by attaching themselves to micro-instructions, or mic, like bios and device
drivers. Once embedded into the mic, they may alter it causing the devices to
move into positions that normally result in physical damage. For example,
there are viruses that are known to lock up keyboards, disable mice, and cause
disk read/write heads to move to nonexisting sectors on the disk, thus causing
the disk to crash.
Trojans are named after the famous Greek story about a wooden horse
that concealed Greek soldiers as they tried to take over the city of Troy. Accord-
ing to the story, a huge, hollow wooden horse full of Greek soldiers was left
at the gates of Troy as a gift from the Greeks to the people of Troy. Apparently,
the Greeks had tried to take the city several times before and failed each time.
The people of Troy took the horse inside the city walls and when night fell,
the Greek soldiers emerged from the horse’s belly, opened the city gates for
the remainder of the Greek soldiers, and destroyed the city. Because of this
legend, anything that abuses trust from within is referred to as a Trojan horse.
Trojan horse viruses use the same tricks the legendary Greeks used. They hide
inside trusted common programs like compilers and editors.
Logic or time bombs are viruses that penetrate a system and embed them-
selves in the system’s software, using it as a conduit to attack once a trigger
goes off. Trigger events can vary in type depending on the motive of the virus.
Most triggers are timed events. There are various types of these viruses includ-
ing “Columbus Day,” “Valentine’s Day,” “Jerusalem-D,” and the “Michelangelo,”
which was meant to activate on the anniversary of Michelangelo’s 517th birth-
day. The most recent time bomb was the “Y2K” bug, which had millions of
people scared as the year 2000 rolled in. The bug was an unintentional design
flaw of a date where the year field did not use four digits. The scare was just a
scare; very few effects were noted.
Trapdoor viruses find their way into a system through parts of the system
and application software weak points. A trapdoor is a special set of instructions
that allow a user to bypass normal security precautions to enter a system. Quite
often software manufacturers, during software development and testing, inten-

tionally leave trapdoors in their products, usually undocumented, as secret
entry points into the programs so that modifications can be made on the pro-
grams at a later date. Trapdoors are also used by programmers as testing points.
Trapdoors can also be exploited by malicious people, including programmers
themselves. In a trapdoor attack, an intruder may deposit a virus-infected data
file in a system instead of actually removing, copying, or destroying the exist-
ing data files. There is an interesting trapdoor scenario in the 1983 film
WarGames, where a trapdoor was successfully used by a hacker to gain access
to a military computer in the Cheyenne Mountains in Utah. The computer
was programmed to react to nuclear attack threat and when the computer
detected the intrusion, it mistook it to be a nuclear threat. According to the
movie script, the computer automatically initiated pre-launch activities
for launching a nuclear missile. The only way it could be stopped was through
a trapdoor. However, without a password, neither the original programmer
or the hacker could stop the launch program. At the end of the movie, as
expected, the hacker manages to crack the military password file and save
humanity.
Some viruses are jokes or hoaxes that do not destroy or interfere with the
workings of a computer system. They are simply meant to be a nuisance to the
user. Many of these types of viruses are sent to one or more users for no other
reason than the sender wants to have fun. Joke and hoax viruses are for that
purpose alone. Hoaxes usually are meant to create a scare while jokes are meant
to create fun for the recipients. Fun, however, may not always be the result.
Sometimes what is meant to be a joke or a hoax virus ends up creating may-
hem.
We can follow Stephenson’s10
virus classification and put all these viruses
into the following categories:
• Parasites: These are viruses that attach themselves to executable files
and replicate in order to attack other files whenever the victim’s pro-
grams are executed.
• Boot sector: These were seen earlier. They are viruses that affect the
boot sector of a disk.
• Stealth: These are viruses that are designed to hide themselves from
any antivirus software.
• Memory-resident: As seen earlier, these are viruses that use system
memory as a beachhead to attack other programs.
• Polymorphic: These are viruses that mutate at every infection, making
their detection difficult.

Theft of Proprietary Information
Theft of proprietary information involves acquiring, copying or distrib-
uting information belonging to a third party. This may also involve certain
types of knowledge obtained through legitimate employment. It also includes
all information as deﬁned in the intellectual property statutes such as copy-
rights, patents, trade secrets, and trademarks. These types of attacks originate
mainly from insiders within the employee ranks, who may steal the information
for a number of motives. As we stated in Chapter 6, companies are reluctant
to report these types of attacks for fear of bad publicity and public disclosure
of their trade secrets.
Fraud
The growth of online services and access to the Internet have provided
fertile ground for cyberspace fraud or cyberfraud. New novel online consumer
services that include cybershopping, online banking, and other online con-
veniences have enabled consumers to do business online. However, crooks and
intruders have also recognized the potential of cyberspace with its associated
new technologies. These technologies are creating new and better ways to
commit crimes against unsuspecting consumers.
Most online computer attacks motivated by fraud are in a form that gives
the intruder consumer information like social security numbers, credit infor-
mation, medical records, and a whole host of vital personal information usually
stored on computer system databases.
Sabotage
Sabotage is a process of withdrawing efficiency. It interferes with the
quantity or quality of one’s skills, which may eventually lead to low quality
and quantity of service. Sabotage as a system attack is an internal process that
can be initiated by either an insider or an outsider. Sabotage motives vary
depending on the attacker, but most are meant to strike a target, usually an
employer, that beneﬁts the attacker. The widespread use of the Internet has
greatly increased the potential for and the number of incidents of these types
of attacks.

Espionage
By the end of the cold war, the United States, as a leading military, eco-
nomic, and information superpower, found itself a constant target of military
espionage. As the cold war faded, military espionage shifted and gave way to
economic espionage. In its pure form, economic espionage targets economic
trade secrets which, according to the 1996 U.S. Economic Espionage Act, are
defined as all forms and types of financial, business, scientific, technical, eco-
nomic, and engineering information and all types of intellectual property
including patterns, plans, compilations, program devices, formulas, designs,
prototypes, methods, techniques, processes, procedures, programs, and codes,
whether they are tangible or not, stored or not, or compiled or not.1
1
To enforce
this act and prevent computer attacks targeting American commercial interests,
U.S. federal law authorizes law enforcement agencies to use wiretaps and other
surveillance means to curb computer supported information espionage.
Network and Vulnerability Scanning
Scanners are programs that keep a constant electronic surveillance of a
computer or a network, looking for computers and network devices with vul-
nerabilities. Computer vulnerabilities may be in the system hardware or soft-
ware. Scanning the network computers for vulnerabilities allows the attacker
to determine all possible weaknesses and loopholes in the system. This opens
up possible attack avenues.
Password Crackers
Password crackers are actually worm algorithms. According to Don Seely,
these algorithms have four parts: the first part, which is the most important,
gathers password data used by the remaining three parts from hosts and user
accounts.12
Using this information, it then tries to either generate individual
passwords or crack passwords it comes across. During the cracking phase, the
worm saves the name, the encrypted password, the directory, and the user
information field for each account.
The second and third parts trivially break passwords that can be easily
broken using information already contained in the passwords. Around 30 per-
cent of all passwords can be guessed using only literal variations or comparison
with favorite passwords.13
This list of favorite passwords consists of roughly
432 words, most of them proper nouns and common English words.14
And

the last part takes words in the user dictionaries and tries to decrypt them one
by one. This may prove to be very time consuming and also a little harder. But
with time, it may yield good guesses.
Employee Network Abuse
Although concerns of computer attacks on companies and corporations
have traditionally been focused on outside penetration of systems, inside
attacks have chronically been presenting serious problems in the workplace.
An insider is someone who has been explicitly or implicitly granted access
privileges that allow him or her the use of a particular system’s facilities. Inci-
dents of insider abuse are abound in the press highlighting the fundamental
problems associated with insider system misuse. Insider net abuse attacks are
fundamentally driven by ﬁnancial fraud, vendettas, and other forms of inten-
tional misuse. Nearly all insider net abuses are covered up.
A number of things have kept this rather serious problem off the radar
including15
:
• system security technology that does not yet distinguish inside system
attacks from those originating from outside,
• a lack of system authentication that would prevent insiders from mas-
querading as someone else,
• top management’s all-powerful and unchecked root privileges,
• employee assumption that once given access privileges they can roam
the entire system,
• local system audit trails that are inadequate or compromised, and
• a lack of deﬁnitive policy on what constitutes insider net abuse in any
given application.
Embezzlement
Embezzlement is an inside job by employees. It happens when a trusted
employee fraudulently appropriates company property for personal gain.
Embezzlement is widespread and happens every day in both large and small
businesses, although small businesses are less likely to take the precautions
necessary to prevent it. Online embezzlement is challenging because it may
never be found. And, if found, sometimes it takes a long time to correct it,
causing more damage.

Computer Hardware Parts Theft
In table 1.2 we notice that although theft of computing devices seem to
be going down, the vice is still high after all these years. There are several rea-
sons for this, including the miniaturization of computing devices, which makes
them easier to conceal and be taken away. Also, because storage technology
has approved in tandem with miniaturization, the devices are storing more
valuable data, hence attracting more attention of device thieves. Thirdly, while
the storage capacity and the computation power have been increasing as the
sizes become smaller, the prices of these devices have been dramatically drop-
ping, making them more available in many places and increasing their proba-
bility of being stolen. There are additional reasons that the theft of computing
devices has remained in the top tier of the computing security problem.16
Denial of Service Attacks
Denial of service attacks, commonly known as distributed denial of serv-
ice (DDoS) attacks, are not penetration attacks. They do not change, alter,
destroy, or modify system resources. They do, however, affect a system by
diminishing the system’s ability to function; hence, they are capable of bringing
a system down without destroying its resources. These types of attacks made
headlines when a Canadian teen attacked Internet heavyweights Amazon,
eBay, E*Trade, and CNN. DDoS attacks have been on the rise. Like penetra-
tion e-attacks, DDoS attacks can also be either local, shutting down LAN
computers, or global, originating thousands of miles away on the Internet, as
was the case in the Canadian generated DDoS attacks.
Most of the attacks in this category have already been discussed in Chap-
ter 6. They include among others IP-spoofing, SYN flooding, smurfing, buffer
overflow, and sequence number sniffing.
Motives of E-Attacks
Although hacking still has a long way to go before it can be considered
a respectable pastime, it can be a full-time job or hobby, taking countless hours
per week to learn the tricks of the trade, developing, experimenting, and exe-
cuting the art of penetrating multiuser computer systems. Why do hackers
spend such a good portion of their time hacking? Is it scientific curiosity, men-
tal stimulation, greed, or personal attention? It is difficult to exclusively answer
this question because the true roots of hacker motives run much deeper than
that. Let us look at a few.

Some attacks are likely the result of personal vendettas. There are many
causes that lead to vendettas. The demonstrations at the last World Trade
Organization (WTO) meeting in Seattle, Washington, and the demonstra-
tions at the World Bank and the International Monetary Fund meetings in
Washington, D.C., and at the G8 meeting in Genoa, Italy, are indicative of
the growing discontent of the masses; masses unhappy with big business, glob-
alization, and a million other things. This discontent is driving a new breed
of wild, rebellious young people to hit back at organizations that are not solving
world problems or beneﬁting all of mankind. These mass computer attacks
are increasingly being used to avenge what the attacker or attackers consider
to be injustices. However, most vendetta attacks are for mundane reasons such
as a promotion denied, a boyfriend or girlfriend taken, an ex-spouse given
child custody, and other situations that may involve family and intimacy issues.
Some attacks at least begin as jokes, hoaxes, or pranks. Hoaxes are warn-
ings that are actually scare alerts started by one or more malicious people and
are passed on by innocent users who think that they are helping the community
by spreading the warning. Most hoaxes are viruses although there are hoaxes
that are computer-related folklore, urban legends or true stories. Virus hoaxes
are usually false reports about nonexistent viruses that cause panic, especially
to the majority of users who do not know how viruses work. Some hoaxes can
get extremely widespread as they are mistakenly distributed by individuals and
companies with the best of intentions. Although many virus hoaxes are false
scares, some may have some truth about them, but they often become greatly
exaggerated such as “Good Times” and “Great Salmon.” Virus hoaxes infect
mailing lists, bulletin boards, and Usenet newsgroups. Worried system admin-
istrators sometimes contribute to this scare by posting dire warnings to their
employees, which become hoaxes themselves.
Some attacks are motivated by “hacker’s ethics”—a collection of motives
that make up the hacker character. Steven Levy lists these as follows17
:
• Access to computers—and anything which might teach you something
about the way the world works—should be unlimited and total.
• Always yield to the hands-on imperative!
• All information should be free.
• Mistrust authority—promote decentralization.
• Hackers should be judged by their hacking, not by bogus criteria such
as degrees, age, race, or position.
• You can create art and beauty on a computer.
• Computers can change your life for the better.
If any of these beliefs are violated, a hacker will have a motive.

Our increasing dependence on computers and computer communication
has opened up a can of worms we now know as electronic terrorism. Electronic
terrorism—that is, hitting individuals by hitting the banking and the military
systems—is perpetrated by a new breed of hacker, one who no longer holds
the view that cracking systems is an intellectual exercise but that it is a way of
gaining from the action. The new hacker is a cracker who knows and is aware
of the value of the information that he or she is trying to obtain or compromise.
But cyber terrorism is not only about obtaining information, it is also about
instilling fear and doubt and compromising the integrity of the data.
Political and military espionage is another motive. For generations coun-
tries have been competing for supremacy of one form or another. During the
cold war, countries competed for military spheres. At the end of the cold war,
the espionage turf changed to gaining access to highly classiﬁed commercial
information about what other countries were doing and to obtaining either a
military or commercial advantage without spending a lot of money on the
effort. It is not surprising, therefore, that the spread of the Internet has given
a boost and a new lease on life to a dying cold-war profession. Our high
dependency on computers in the national military and commercial establish-
ments has given espionage new fertile ground. Electronic espionage has a lot
of advantages over its old-fashioned, trench-coated, Hitchcock-style cousin.
For example, it is far cheaper to implement. It can gain access into places which
would be inaccessible to human spies, and it saves embarrassment in case of
failed or botched attempts. And, it can be carried out at a place and time of
choice. One of the ﬁrst electronic espionage incidents that involved massive
computer networks was by Marcus H., a West German hacker, who in 1986
along with accomplices attacked the military, universities, and research organ-
ization centers in the United States. Over a period of 10 months, he attacked
over 450 computers and successfully penetrated over 40, starting with the
Lawrence Berkeley Laboratory, through which he attacked U.S. Army bases
in Japan, Germany, Washington, D.C., and Alabama; the U.S. naval base in
Panama City, Florida, and the Naval Shipyard and Data Center in Norfolk,
Virginia; U.S. Air Force bases in Germany and El Segundo, California; defense
contractors in Richardson, Texas, and Redondo Beach, California; and uni-
versities including the University of Boston, a university in Atlanta, Georgia,
the University of Pittsburgh, the University of Rochester, the University of
Pasadena, and the University of Ontario. His list also included national
research laboratories such as the Lawrence Livermore National Laboratory,
the National Computing Center at Livermore, and research laboratories in
Pasadena, California. As the list demonstrates, his main motive, according to
Clifford Stoll, was computers operated by the military and by defense con-
tractors, research organizations, and research universities.18
Marcus and his

accomplices passed the information they got to the KGB in the then–U.S.S.R.
Marcus was arrested and convicted, together with his accomplices, Dirk B.
and Peter C.19
Another type of espionage that may motivate a cyber attack is business
(competition) espionage. As businesses become global and world markets
become one global bazaar, business competition for ideas and market strategies
is becoming very intense. According to Jonathan Calof, professor of manage-
ment at the University of Ottawa, information for business competitiveness
comes from primary sources, most of all the employees.20
Because of this, busi-
ness espionage mainly targets people, more specifically, employees. Company
employees, and especially those working in company computer systems, are
targeted the most.
Cyber sleuthing and corporate computer attacks are the most used busi-
ness espionage techniques that involve physical system penetration for trophies
like company policies and management and marketing data. It mayalso involve
sniffing, electronic surveillance of the electronic communications of the com-
pany’s executives and of the employee chat rooms for information.
Some cyber attacks spring from a very old motivation: hatred. Hate as a
motive of attack originates from an individual or individuals with a serious
dislike of another person or group of persons based on a string of human attrib-
utes that may include national origin, gender, race, or the manner of speech
one uses. The attackers, then incensed by one or all of these attributes, con-
template and carry out attacks of vengeance often rooted in ignorance.
Some attacks may be motivated by a desire for personal gain. Such
motives spring from the selfishness of individuals who are never satisfied with
what they have and are always wanting more, usually more money. It is this
need to get more that drives the attacker to plan and execute an attack.
Finally, cyber attacks sometimes occur as a result of ignorance. Unin-
tended acts may lead to destruction of information and other systems resources.
Such acts usually occur as a result of individuals (who may be authorized or
not, but in either case are ignorant of the workings of the system) stumbling
upon weaknesses or performing a forbidden act that results in system resource
modification or destruction.
Topography of Attacks
E-attackers must always use specific patterns in order to reach their vic-
tims. When targeting one individual, they use a pattern of attack different
from one they would use if their target was a group of green people. In this
case, they would use a different pattern that would only reach and affect green

people. However, if the e-attackers wanted to affect every one regardless, they
would use still a different pattern. The pattern chosen, therefore, is primarily
based on the type of victim(s), motive, location, method of delivery, and a few
other things. There are four of these patterns and we will call them topographies.
They are illustrated in Figures 7.1, 7.2, 7.3 and 7.4.
One-to-One
One-to-one e-attacks originate from one attacker and target a known
victim. They are personalized attacks in which the attacker knows the victim
and sometimes the victim may know the attacker. One-to-one attacks are usu-
ally motivated by hate, a personal vendetta, a desire for personal gain, or an
attempt to make a joke, although business espionage may also be involved.
Figure 7.1 One-to-One Topology
Figure 7.2 One-to-Many Topology

One-to-Many
One-to-many attacks are fueled by anonymity. In most cases, the attacker
does not know any of the victims. And in all cases, the attacker is anonymous
to the victims. This topography has been the technique of choice in the last
two to three years because it is one of the easiest to carry out. The motives
Figure 7.3 Many-to-One Topology
Figure 7.4 Many-to-Many Topology

that drive attackers to use this technique are hate, a desire for personal satis-
faction, an attempt to play a joke or to intimidate people with a hoax.
Many-to-One
Many-to-one attacks so far have been rare, but they have recently picked
up momentum as distributed denial of services attacks have once again gained
favor in the hacker community. In a many-to-one attack technique, the attacker
starts the attack by using one host to spoof other hosts, the secondary victims,
which are then used as new sources of attacks on the selected victim. These
types of attacks need a high degree of coordination and, therefore, may require
advanced planning and a good understanding of the infrastructure of the net-
work. They also require a very well-executed selection process in choosing the
secondary victims and then eventually the final victim. Attacks in this category
are driven by personal vendetta, hate, terrorism, or a desire for attention and
fame.
Many-to-Many
As in the many-to-one topography, many-to-many attacks are rare; how-
ever, there has been an increase recently in reported attacks using this tech-
nique. For example, in some recent DDoS cases, there has been a select group
of sites chosen by the attackers as secondary victims. These were then used to
bombard another select group of victims. The numbers involved in each group
may vary from a few to several thousands. Like the many-to-one topography,
attackers using the many-to-many technique also need a good understanding
of the network infrastructure and a good selection process to pick the second-
ary victims and to eventually select the final pool of victims. Attacks utilizing
this topology are mostly driven by a number of motives including terrorism,
a desire for attention and fame, or a desire to pull off a joke or hoax.
How Hackers Plan E-Attacks
Few computer attacks are developed and delivered in a few hours. The
processes are always well drawn. There is always a motive followed by a plan.
It is the carefully planned and fully developed e-attack that is successful. If
only law enforcement agencies and society as a whole used these planning peri-
ods as windows of opportunity to snoop into these activities before they
hatched, then computer crimes would be significantly reduced. But unfortu-
nately, this may never happen because of the elaborate and varying sequences

of steps leading to attacks. Studies of hacker activities from interviews and
court papers have shown that an actual attack has the following sequence of
steps:
• There is always a motive that must precede all other activities before
the attack.
• Targets are always identified based on the motive(s).
• Programs are developed. Several programs may be needed, some to
scan for network and system vulnerabilities and others to deliver the
attacker payload.
• Once the targets are identified and the programs written, then,
depending on the topography of attack, scanners are downloaded to
search for network weak points and devices and to develop a full pic-
ture of the victim and LAN configuration. Operating systems and
applications running on the victim site are also identified and platform
and network vulnerabilities are noted.
• Using information from the scan, the first attempts are made froma
list of selected target victims. The techniques used in the initial attack
depend on whether the planned attack is a distributed denial of service
or a penetration attack. In most penetration attacks, the initial attempt
may include simple attacks using FTP, telnet, remote login, and pass-
word guessing. Once the initial penetration is successful, then pene-
tration of the known system security loopholes (as revealed by the
scanners) is attempted. These attempts may lead to the intruder gain-
ing even higher security and access privileges that puts the intruder
in full control before the full-blown attack commences.
• Once the initial attempts are successful, they are then used as a beach-
head to launch a full-scale attack on the selected targets.
Most Common System and
Software Vulnerabilities
Since the first edition of this book in 2002, vulnerabilities in major oper-
ating system keep changing. The top most common operating system vulner-
abilities we have been giving in subsequent editions have, therefore, been
changing. And so is the case in this fourth edition.
According to the National Vulnerability Database (NVD), a U.S. gov-
ernment repository of standards-based vulnerability management data repre-
sented using the Security Content Automation Protocol (SCAP), there were
3532 vulnerabilities reported in operating systems and applications like web

browsers in 2011. This adds up to about ten new security vulnerabilities each
day. While the rate of newly discovered vulnerabilities is impressive, both new
and newer version of old operating systems and applications are getting better
fortified because, as NVD reports, the trend is on a descending path. For exam-
ple 4258 vulnerabilities were reported in 2010.21
Top Vulnerabilities to Windows Systems
According to Altius IT,22
a network security audit and security consulting
firm, the most recent top vulnerability in the Windows operating system at
the writing of this edition are as follows:
• Web Servers—misconfigurations, product bugs, default installations,
and third-party products such as php can introduce vulnerabili-
ties.
• Microsoft SQL Server—vulnerabilities allow remote attackers to obtain
sensitive information, alter database content, and compromise SQL
servers and server hosts.
• Passwords—user accounts may have weak, nonexistent, or unprotected
passwords. The operating system or third-party applications may cre-
ate accounts with weak or nonexistent passwords.
• Workstations—requests to access resources such as files and printers
without any bounds checking can lead to vulnerabilities. Overflows
can be exploited by an unauthenticated remote attacker executing
code on the vulnerable device.
• Remote Access—users can unknowingly open their systems to hackers
when they allow remote access to their systems.
• Browsers—accessing cloud computing services puts an organization
at risk when users have unpatched browsers. Browser features such as
Active X and Active Scripting can bypass security controls.
• File Sharing—peer to peer vulnerabilities include technical vulnera-
bilities, social media, and altering or masquerading content.
• E-mail—by opening a message a recipient can activate security threats
such as viruses, spyware, Trojan horse programs, and worms.
• Instant Messaging—vulnerabilities typically arise from outdated
ActiveX controls in MSN Messenger, Yahoo! Voice Chat, buffer over-
flows, and others.
• USB Devices—plug and play devices can create risks when they are
automatically recognized and immediately accessible by Windows
operating systems.

Notice the persistence of some vulnerabilities in the Windows operating sys-
tem to remain in the top tier by looking at the top vulnerabilities in the Win-
dows operating system at the writing of the third edition below:
• Web Services & Services: These include Windows platforms default
installations of various HTTP servers and additional components for
serving HTTP requests as well as streaming media to the Internet.
According to the report, attacks may result in denial of service, expo-
sure or compromise of sensitive files or data, execution of arbitrary
commands on the server, or complete compromise of the server.
• Workstation Service: This is a Windows Workstation service respon-
sible for processing user requests to access resources such as files and
printers. It determines if the resource is residing on the local system
or on a network share and routes the user requests appropriately. An
attack can result in a stack-based buffer overflow caused by a malicious
DCE/RPC call.
• Windows Remote Access Services: These are various Windows oper-
ating systems services supporting different networking methods and
technologies. An attack on these services may include Network Shares,
Anonymous Logon, remote registry access, and remote procedure
calls.
• Microsoft SQL Server (MSSQL): MSSQL is plagued by several seri-
ous vulnerabilities that allow remote attackers to obtain sensitive
information, alter database content, compromise SQL servers, and,
in some configurations, compromise server hosts. In fact, two recent
MSSQL worms in May 2002 and January 2003 exploited several
known MSSQL flaws. According to the report, hosts compromised
by these worms generated a damaging level of network traffic when
they scanned for other vulnerable hosts.
• Windows Authentication: Microsoft Windows does not store or
transmit passwords in clear text. Instead it uses a hash, a mathematical
function used like a password to obtain transformed data, instead of
a password for authentication. Windows uses three authentication
algorithms: LM (least secure, most compatible), NTLM and
NTLMv2 (most secure and least compatible). Most current Windows
environments have no need for LM (LAN Manager) support, how-
ever, Microsoft Windows locally stores legacy LM password hashes
by default on Windows NT, 2000 and XP systems (but not in Win-
dows server 2003). LM is a weak authentication algorithm because
it uses a much weaker encryption scheme than more current Micro-
soft approaches (NTLM and NTLMv2). Therefore, LM passwords

can be broken in a relatively short period of time by a determined
attacker.
• Web Browsers: Microsoft Internet Explorer (IE) is the default Web
browser on Microsoft Windows platforms. The latest version, IE 8,
like its predecessors has many vulnerabilities. Many of the vulnerabil-
ities have been patched by Microsoft like the zero-day vulnerability
that was first demonstrated on the first day of the Pwn20wn contest
at the 2009 CanSecWest Conference in Vancouver. There are, of
course, other vulnerabilities including filters designed by Microsoft
to prevent some cross-site scripting (XSS) attacks which can be used
to exploit IE 8.
• File-Sharing Applications: Peer-to-Peer File Sharing Programs (P2P)
are popular applications used to download and distribute many types
of user data including music, video, graphics, text, source code, and
proprietary information. They are also used to distribute Open-
Source/GPL binaries, ISO images of bootable Linux distributions,
independent artists’ creations, and even commercial media such as
film trailers and game previews. Use of P2P applications introduces
three types of vulnerabilities: technical vulnerabilities that can be
exploited remotely, social vulnerabilities that are exploited by altering
or masquerading binary content that others request, and legal vulner-
abilities that can result from copyright infringement or objectionable
material.
• LSAS Exposures: These are critical buffer overflows found and
exploitable on Windows Local Security Authority Subsystem Service
on Windows 2000, Server 2003 and Server 2003 64-bit, XP and XP
64-bit editions. These exposures can lead to a remote and anonymous
attack over RPC on unpatched Windows 2000 and XP systems.
• Mail Client: Outlook Express (OE), a basic e-mail and contact man-
agement client bundled with Internet Explorer, has embedded
automation features that are at odds with the built-in security controls
leading to e-mail viruses, worms, malicious code to compromise the
local system, and many other forms of attack. An attack exploiting
these vulnerabilities can lead to infection of the computer with a virus
or worm, spam e-mail, or Web beaconing, e-mail address validation
triggered by the opening of an e-mail by recipient.
• Instant Messaging: Instant Messaging (IM) technology is very popular.
Yahoo! Messenger (YM), AOL Instant Messenger (AIM), MSN Mes-
senger (MSN) and Windows Messenger (WM), which is now fully
integrated into Windows XP Professional and Home Editions, are all
used on Windows systems. Remotely exploitable vulnerabilities in

these programs or associated dependencies are a growing threat to the
integrity and security of networks, directly proportional to their rapid
integration and deployment on Windows systems. Attacks can result
in remotely executed buffer overflows, URI/maliciouslink based
attacks, file transferring vulnerabilities, and Active X exploits.
Top Vulnerabilities to UNIX/Linux Systems
Since Unix is a dated operating system, its vulnerabilities tend to remain
stable. Also, since Linux is based on Unix, vulnerabilities in Unix are also the
same vulnerabilities in Linux.
• BIND Domain Name System: The Berkeley Internet Name Domain
(BIND) is one of the most widely used implementations of the Domain
Name Service (DNS). It enables the binding conversion of host names into
the corresponding registered IP addresses making it easy to locate systems
on the Internet by name without having to know specific IP addresses. This
binding has security weaknesses that can be exploited by an intruder. Many
DNS servers are still vulnerable to attacks that range from denial of service
to buffer overflows and cache poisoning. Since the Berkeley Internet Name
Domain package is the most widely used implementation of Domain Name
Service, it is a favorite target for attack.
• Web Server: UNIX and Linux Web servers such as Apache and the Sun
Java System Web Server (formerly iPlanet) serve a majority of Internet traffic
and are therefore the most targeted for attack. At the same time, they also
suffer from various vulnerabilities that include vulnerabilities within the
server itself, add-on modules, default/example/test cgi scripts, PHP bugs,
and various other attack vectors.
• Authentication: UNIX and Linux, just like Windows, suffer from password
authentication weaknesses. The most common password vulnerabilities are:
° User accounts with weak or nonexistent passwords.
° Weak or well-known password hashing algorithms and/or user password
hashes that are stored with weak security and that are denial of service
to the Concurrent Versions System (CUS) server, or execute arbitrary
code on the CUS server.
• Version Control Systems: Version control systems are applications that pro-
vide tools to manage different versions of documents or source code, and
facilitate multiple users to concurrently work on the same set of files. Con-
current Versions System (CVS), the most popular source code control sys-
tem used in UNIX and Linux environments, can be remotely configured
for remote access via the pserver protocol that runs on port 2401/tcp by

default. A server configured in such a fashion contains the following vul-
nerabilities:
° A heap-based buffer overflow resulting from malicious access to Entry-
Lines.
° A denial of service to the CVS server, or execute arbitrary code on the
CVS server.
• Sendmail: This is a general purpose internetwork email routing facility that
supports many kinds of mail-transfer and -delivery methods, including the
Simple Mail Transfer Protocol (SMTP) used for email transport over the
Internet. Simple Mail Transport Protocol (SMTP) is one of the oldest of
the mail protocols. Mail Transport Agent (MTA) servers transport mail
from senders to recipients using SMTP protocol, usually encrypted with
SSL on insecure ports with TLS if both ends support it. Sendmail is the
most widely used UNIX-based MTA. Most of the vulnerabilities are there-
fore targeting it. Attacks on MTA servers are looking for:
° Unpatched systems and systems that can easily suffer from buffer overruns
and heap overflows.
° Systems with open relays for spamming.
° Systems with nonrelay misconfiguration, like a user-account database, for
spam or social engineering purposes.
• Simple Network Management Protocol (SNMP) is a network management
protocol developed in 1988 to solve communication problems between dif-
ferent types of networks. Since then, it has become a de facto standard. It
works by exchanging network information through five protocol data units
(PDUs). This protocol suite manages information obtained from network
entities such as hosts, routers, switches, hubs, and so on. The information
collected from these various network entities via SNMP variable queries is
sent to a management station. Information events, called traps, such as crit-
ical changes to interface status and packet collisions can also be sent from
entities to these management stations. These domains of SNMP manage-
ment stations and entities are grouped together in communities. These com-
munities, commonly known as community strings, are used as an
authentication method in information retrieval/traps. Two types of com-
munity strings are in common use: read, which is default public, and write,
which is default private. A read community has privileges to retrieve vari-
ables from SNMP entities and a write community has privileges to read as
well as write to entity variables. SNMP employs these units to monitor and
administer all types of network-connected devices, data transmissions, and
network events such as terminal start-ups or shutdowns. However, these
SNMP entities are unencrypted. It is possible for any intruder to have full
administrator access to these SNMP facilities which has the potential for

abuse of privileges including the ability to modify host name, network inter-
face state, IP forwarding and routing, state of network sockets (including
the ability to terminate active TCP sessions and listening sockets) and the
ARP cache. An attacker also has full read access to all SNMP facilities.23
• Open Secure Sockets Layer: Open Secure Sockets Layer (OpenSSL) is a
cryptographic library to support applications communicating over the net-
work. Its SSL/TLS protocol is used widely in commercial communication.
Popular UNIX and Linux applications like Apache Web Server, POP3,
IMAP, SMTP and LDAP servers use OpenSSL. Because of its wide inte-
gration, many applications may suffer if the library has vulnerabilities. For
example, multiple exploits are publicly available that can compromise
Apache servers compiled with certain versions of the library.
• U5 File Transfer Protocol (FTP): Network File System (NFS) is designed
to share (“export”) file systems/directories and files among UNIX systems
over a network, while Network Information Service (NIS) is a set of services
that work as a loosely distributed database service to provide location infor-
mation, called maps, to other network services such as NFS. Both NSF and
NIS are commonly used in UNIX servers/networks that have had security
problems over the years like buffer overflows, DDoS and weak authentica-
tion, thus, becoming attractive to hackers.
• Databases: Databases, as collections of a variety of things like business,
financial, banking, and Enterprise Resource Planning (ERP) systems, are
widely used systems. However, unlike operating systems, they have not been
subjected to the same level of security. Partly because of that, they have a
wide array of features and capabilities that can be misused or exploited to
compromise the confidentiality, availability, and integrity of data.
• Kernel: This is the core of an operating system. It does all of the privileged
operations that can cause the security of the system to be compromised.
Any weaknesses in the kernel can lead to serious security problems. Risks
from kernel vulnerabilities include denial of service, execution of arbitrary
code with system privileges, unrestricted access to the file system, and root
level access.
• General Unix Authentication—Accounts with no passwords or weak pass-
words.
Top Vulnerabilities to Apple OS Systems
According to eSecurity Planet,24
in the past, and even up to now as we
have seen already, most malware writers have targeted systems running Micro-
soft’s Windows operating system. This has led many Mac users to believe falsely
that OS X is a highly secure operating system that can’t be compromised. As

a result, most computers running the operating system have little or no anti-
malware protection. However, machines running Apple’s OS X operating sys-
tem are increasingly being targeted. For Mac OSs, apart from vulnerabilities
in the operating system, which Apple is often slow to patch, malware writers
are also exploiting vulnerabilities in software such Java, which run on these
systems.25
According to Paul Rubens (2010), Apple Macs are secure because
they don’t get computer viruses, and because OS X, the operating system they
run, is based on the rock-solid and highly secure BSD UNIX.
Rubens also blames Apple, the company, for its inaccurate perception
that Macs are “secure” based on the company’s current security line that “Mac
OS X doesn’t get PC viruses.” Since most OS X systems have little or no pro-
tection and the user base is inexperienced with security, it will increasingly be
targeted by attackers in the future.
The most current Apple OS-speciﬁc threats include:
• rootkits such as WeaponX
• fake codec Trojans
• malicious code with Mac-speciﬁc DNS changing functionality
• fake or rogue anti-malware
• keyloggers
• disruptive adware
• multi-platform threats that include phishing attacks (and social engi-
neering)
• non-Mach-O binaries, that include bash, Perl, and other scripts, and
Java bytecode.
• And JavaScript in particular can wreak havoc in many browsers,
regardless of the operating system they are running on. “JavaScript is
a now infamous tool for exploiting vulnerabilities in browsers, and
there is no reason to suspect that Safari suffers any less vulnerability
in this respect than any of the other popular browsers,” Harley con-
cludes in his EICAR presentation.
Before this edition, the list of vulnerabilities was even longer, as shown
below.
Apple Mac OS Classic*
• The TCP/IP stack responds to packets from a multicast address
(known as a spank attack) which allows Denial of Service through
network saturation or stealth scans.26

• The Web server tested positive for an Oracle9i crash through an incor-
rectly crafted, long URL.
• The system can be crashed through a “land” attack, where a packet’s
return port and address are identical to the destination port and
address.
• The Web server is vulnerable to an infinite HTTP request loop result-
ing in a server crash.
• The Web server can be crashed through an HTTP 1.0 format string
value in the header request.
Apple OS X 10.4 Server
• The OS X version was identified as older than the current 10.4.8 mean-
ing the system has vulnerabilities in the binaries: AFP Server, Blue-
tooth, CFNetwork, Dashboard, Flash Player, ImageIO, Kernel,
launchd, LoginWindow, OpenLDAP, Preferences, QuickDraw Man-
ager, SASL, Security Agent, TCP/IP, WebCore, Workgroup Mana-
ger.
• The Directory Services could be remotely shut down by making exces-
sive connections to the server.
• The DNS server is vulnerable to Cache Snooping attacks.
• The Web server reveals the existence of user accounts by querying
against UserDir.
• The Web server is vulnerable to an infinite HTTP request allowing
an attacker to exhaust all available resources.
• The Web server crashes when issued a long argument to the Host:
field on an HTTP request.
• The JBoss server allows information disclosure about the system con-
figuration.
• The Streaming server allows remote code execution because OpenLink
is vulnerable to buffer overflows on two crafted URLs: GET AAA[…]
AAA and GET /cgi-bin/testcono?AAAAA[…]AAA HTTP/1.0.
• The DNS server still allows Cache Snooping.
• The Web server allowed downloading the source code of scripts on
the server (specifically files served by weblog feature).
• The Web server (port 80, 8080, 8443) allows for username enumer-
ation because the “UserDir” option is enabled.
• The Web server (port 8080) has HTTP TRACE enabled allowing
for a potential cross-site scripting attack.
• The SSL Coyote service on port 8443 is vulnerable to a format string

attack on the method name allowing remote execution of code or
Denial of Service.
• The Web server (port 80, 1085) accepts unlimited requests making
the system vulnerable to Denial of Service attacks that consume all
available memory.
• The Web server (port 80) crashes when issued a long argument to the
Host: ﬁeld on an HTTP request.
• The OS X Directory service could be remotely shut down.
• The DNS server permits external cache snooping and allows for recur-
sive queries.
• The Web server (port 80, 8080, 8443) allows for username enumer-
ation because the “UserDir” option is enabled.
• The Web server (port 8080) has HTTP TRACE enabled allowing
for a potential cross-site scripting attack.
• The Web server (port 80, 1085) accepts unlimited requests allowing
attackers to consume all available resources.
• The Web server (port 80) crashes when a long argument is passed to
the Host: ﬁeld of an HTTP request.
Apple OS X 10.4 Tiger*
• The SSH service is subject to a PAM timing attack allowing for user
enumeration.
• The web server allows user enumeration through an HTTP response
timing issue.
The vulnerabilities discussed above, most of them appearing in the dated
SANS Institute annual Top 20 Vulnerability Reports, tended to focus only on
operating systems. However, the threat landscape is very dynamic and has
changed over the years. This has necessitated us to broaden our focus beyond
operating systems to cover vulnerabilities found in other systems like anti-
virus, backup or other application software, client-side vulnerabilities, includ-
ing vulnerabilities in browsers, in office software, in media players and in other
desktop applications. These vulnerabilities are continuously being discovered
on a variety of operating systems and are also massively exploited in the wild.
So newer SANS vulnerability reports are covering areas such as*:
• Client-side vulnerabilities:
° Web browsers
° Office software

° Email clients
° Media players
• Server-side Vulnerabilities:
° Web applications
° Windows services
° Unix and Mac OS services
° Backup software
° Anti-virus software
° Management servers
° Database software security policy and personnel
• Application abuse:
° Instant messaging
° Peer-to-peer programs
• Network devices:
° VoIP servers and phones
• Zero-day attacks
For more details on these vulnerabilities, the reader is referred to SANS’s
Top–20 2007 Security Risks (2007 Annual Update), http://www.sans-ssi.org/
top20/.
Forces Behind Cyberspace Attacks
Just a few years ago it almost looked like there was a big one every few
days—a big computer network attack, that is. E-attacks were, and still are,
very frequent, but they are now more designer-tailored, more bold, gang-like
and more state sponsored and are taking on more systems than ever before. In
fact, if we look at the chronology of computer attacks, there is a progressive
pattern in the number of targeted systems and in the severity of these attacks.
Early attacks were far less dangerous and they were targeted on a few selected
systems. Through the years, this pattern has been morphing and attacks are
becoming more daring, broader, and more indiscriminate.
One of these reasons is rapid technology growth. The unprecedented
growth in both the computer and telecommunication industries has enabled
access to the Internet to balloon into millions. Portable laptops and palms
have made Internet access easier because people can now logon the Internet
anytime, anywhere. Laptops, palms, and cellular and satellite phones can be
used in many places on earth like in the backyard of any urban house, in the
Sahara Desert, in the Amazon or in the Congo, and the access is as good as in
a major city like London, New York, or Tokyo. The arena of possible cyber
attacks is growing.

Another reason for cybercrime growth is the easy availability of hacker
tools. There are an estimated 30,000 hacker-oriented sites on the Internet,
advertising and giving away free hacker tools and hacking tips.27
As the
Philippine-generated “Love Bug” demonstrated, hacking prowess is no longer
a question of affluence and intelligence but of time and patience. With time,
one can go through a good number of hacker sites, picking up tips and tools
and coming out with a ready payload to create mayhem in cyberspace.
Anonymity is a third reason for cybercrime growth. Those times when
computer access was only available in busy well-lit public and private areas are
gone. Now, as computers become smaller and people with those small Internet-
accessible gizmos become more mobile, hacker tracing, tracking, and appre-
hending have become more difficult than ever before. Now hackers can hide
in smaller places and spend a lot of time producing deadlier viruses drawing
very little attention.
Cybercrime has also grown as a result of cut-and-paste in programming
technology. This removed the most important impediment for would-be hack-
ers. Historically, before anybody could develop a virus, one had to write a code
for it. The code had to be written in a computer programming language, com-
piled, and made ready to go. This means, of course, that the hacker had to
know or learn a programming language! Learning a programming language is
not a one-day job. It takes long hours of study and practice. Well, today this
is no longer the case. We’re in an age of cut-and-paste programming. The
pieces and technical know-how are readily available from hacker sites. One
only needs to have a motive and the time.
Communications speed is another factor to consider. With the latest
developments in bandwidth, high volumes of data can be moved in a short
time. This means that intruders can download a payload, usually developed
by cut-and-paste offline, very quickly log off and possibly leave before detection
is possible.
The high degree of internetworking also supports cybercrime. There is
a computer network in almost every country on earth. Nearly all these net-
works are connected on the Internet. In many countries, Internet access is
readily available to a high percentage of the population. In the United States,
for example, almost 50 percent of the population has access to the Internet.28
On a global scale, studies show that currently up to 40 percent of developed
countries and 4 percent of all developing countries on average have access to
the Internet and the numbers are growing daily.29
As time passes, more and
more will join the Internet bandwagon, creating the largest electronic human
community in the history of humanity. The size of this cybercommunity alone
is likely to create many temptations.
Finally, we must realize that crime is encouraged by our increasing

dependency on computers. The ever increasing access to cyberspace, together
with the increasing capacity to store huge quantities of data, the increasing
bandwidth in communication networks to move huge quantities of data, the
increased computing power of computers, and plummeting computer prices
have all created an environment of human dependency on computers. This,
in turn, creates numerous problems and fertile ground for hackers.
Challenges in Tracking Cyber Vandals
All the reasons for cybercrime growth that we gave in the previous section
make it extremely difficult for law enforcement agencies and other interested
parties, like computer equipment manufacturers and software producers, to
track down and apprehend cyber criminals. In addition to the structural and
technological bonanzas outlined above that provide a fertile ground for cyber-
crime, there are also serious logistical challenges that prevent tracking down
and apprehending a successful cyber criminal. Let us consider some of those
challenges.
As computer networks grow around the globe, improvements in com-
puter network technology and communication protocols are made, and as
millions jump on the Internet bandwagon, the volume of traffic on the Internet
will keep on growing, always ahead of the technology. This makes it extremely
difficult for law enforcement agencies to do their work. The higher the volume
of traffic, the harder it gets to filter and find cyber criminals. It is like looking
for a needle in a haystack or looking for a penny on the bottom of the ocean.
The recent distributed denial of service (DDoS) attacks have demon-
strated how difficult it is to trace and track down a well-planned cyber attack.
When the attackers are clever enough to mask their legitimate sources in layers
of multiple hoops that use innocent computers in networks, the task of track-
ing them becomes even more complicated. Because we explained in detail how
this can be achieved in Chapter 6, we will not do so again here. However, with
several layers of hoops, DDoS and other penetration attacks can go unde-
tected.
Law enforcement and other interested parties lack a good hacker profile
to use to track down would-be hackers before they create mayhem. The true
profile of a computer hacker has been changing along with the technology. In
fact the Philippine-generated “Love Bug” demonstrated beyond a doubt how
this profile is constantly changing. This incident and others like it discredited
the widely held computer hacker profile of a well-to-do, soccer playing, sub-
urban, privately schooled, teen. The incident showed that a teenager in an
underdeveloped nation, given a computer and access to the Internet, can create

as much mayhem in cyberspace as his or her counter-parts in industrialized,
highly computerized societies. This lack of a good computer hacker profile
has made it extremely difficult to track down cyber criminals.
The mosaic of global jurisdictions also makes it difficult for security agen-
cies to track cyber criminals across borders. The Internet, as a geographically
boundaryless infrastructure, demonstrates for the first time how difficult it is
to enforce national laws on a boundaryless community. Traditionally, there
were mechanisms to deal with cross-border criminals. There is Interpol, a loose
arrangement between national police forces to share information and some-
times apprehend criminals outside a country’s borders. Besides Interpol, there
are bilateral and multinational agreements and conventions that establish
frameworks through which “international” criminals are apprehended. In
cyberspace, this is not the case. However, there are now new voices advocating
for a form of cyberpol. But even with cyberpol, there will still be a need to
change judicial and law enforcement mechanisms to speed up the process of
cross-border tracking and apprehension.
There is a lack of history and of will to report cybercrimes. This is a prob-
lem in all countries. We have already discussed the reasons that still hinder
cybercrime reporting.
Because of the persistent lag between technology and the legal processes
involving most of the current wiretaps and cross-state and cross-border laws,
effective tracing, tracking and apprehension of cyber criminals is a long way
off. And as time passes and technology improves, as it is bound to, the situation
will become more complicated and we may even lose the fight.
The Cost of Cyberspace Crime
According to the InfoSecurity Report of 2012,30
although the frequency
of successful cyber attacks has more than doubled over the last three years, the
annual cost to organizations has slowed dramatically in the last two years. The
report noted that for the period of the study the “most costly cyber crimes are
those caused by malicious insiders, denial of services, and malicious code.”
The U.S. companies were more likely to suffer insider attacks than the other
countries. A study like this and other in the security domain looking at the
cost of cybercrimes, continue to indicate that cybercrimes, where ever they
are committed, are getting more frequent and more costly. However, as we
have indicated and will continue to urge in the rest of the book, this cost espe-
cially in some major crimes can be contained with a proper ethical framework,
strong security protocols and encryption regimes, and a carefully chosen basket
of security best practices. Organizations with a stronger security posture are

continuously experiencing less cybercrimes costs, sometimes than half the cost
of less prepared ones. We will talk more about these in the coming chapters.
The universality of cyber attacks creates new dimensions to cyberspace
security, making it very difficult to predict the source of the next big attack, to
monitor, let alone identify, trouble spots, to track and apprehend hackers, or
to put a price on the problem that has increasingly become a nightmare to com-
puter systems administrators, the network community, and users in general.
As computer prices plummet, as computer and Internet devices become
smaller, and as computer ownership and Internet access sky-rocket, estimating
the cost of e-attacks becomes increasingly difficult to do. For one thing, each
type of e-attack (seen earlier) has its own effects on the resources of cyberspace,
and the damage each causes depends on the time, place, and topography used.
Then, too, it is very difficult to quantify the actual true number of attacks.
Only a tiny fraction, of what everyone believes is a huge number of incidents,
is detected and an even smaller number is reported. In fact, as we reported in
the previous section, only one in 20 of all system intrusions is detected and of
those detected only one in 20 is reported.31
Because of the small number of reports, there has been no conclusive
study to establish a valid ﬁgure that would at least give us an idea of the scope
of the problem. The only known studies have been regional and sector based.
For example, there have been studies in education, on defense, and in a select
number of industries and public government departments.
According to Terry Guiditis of Global Integrity, 90 percent of all reported
and unreported computer attacks is done by insiders.32
Insider attacks are
rarely reported. As we reported in Chapter 6, companies are reluctant to report
any type of cyber attack, especially insider ones, for fear of diluting integrity
and eroding investor conﬁdence in the company.
Another problem in estimating the numbers stems from a lack of coop-
eration between emergency and computer crime reporting centers worldwide.
There are over 100 such centers worldwide, but they do not cooperate because
most commercially compete with each other.33
It is difficult, too, to estimate costs when faced with so many unpre-
dictable types of attacks and viruses. Attackers can pick and choose when and
where to attack. And, attack type and topography cannot be predicted. Hence,
it is extremely difficult for system security chiefs to prepare for attacks and
thus reduce the costs of each attack that might occur.
Virus mutations are another issue in the rising costs of cyber attacks. The
“Code Red” virus is an example of a mutating virus. The original virus started
mutating after about 12 hours of release. It put enormous strain on system
administrators to search and destroy all the various strains of the virus and the
exercise was like looking for a needle in a haystack.

Another problem is the lack of system administrators and security chiefs
trained in the latest network forensics technology who can quickly scan, spot,
and remove or prevent any pending or reported attack and quickly detect
system intrusions. Without such personnel, it takes longer to respond to
and clear systems from attacks, so the effectiveness of the response is reduced.
Also, failure to detect intrusion always results in huge losses to the organiza-
tion.
A ﬁnal problem is primitive monitoring technology. The computer indus-
try as a whole, and the network community in particular, have not achieved
the degree of sophistication necessary to monitor a computer system contin-
uously for full proof detection and prevention of system penetration. The
industry is always on the defensive, always responding after an attack has
occurred and with inadequate measures. In fact, at least for the time being, it
looks like the attackers are setting the agenda for the rest of us. This kind of
situation makes every attack very expensive.
Input Parameters for a Cost Estimate Model
Whenever an e-attack occurs and one is interested in how to estimate
the costs of such an attack, what must be considered in order to generate a
plausible estimate? There is not an agreed-on list of quantiﬁable costs from
any user, hardware or software manufacturer, network administrator, or net-
work community as a whole. However, there are some obvious and basic
parameters we can start with in building a model such as:
• Actual software costs.
• Actual hardware costs.
• Loss in host computer time. This is computed using a known computer
usage schedule and costs per item on the schedule. To compute the
estimate, one takes the total system downtime multiplied by cost per
scheduled item.
• Estimated cost of employee work time. Again, this is computed using
known hourly employee payments multiplied by the number of idle
time units.
• Loss in productivity. This may be computed using known organiza-
tional performance and output measures.
If one has full knowledge of any or several of the items on this list and
knows the type of e-attack being estimated, one can use the model to arrive
at a plausible estimate.
Lack of coordinated efforts to estimate the costs of e-crimes has led to a

confusing situation with varying and sometimes conﬂicting estimates of one
e-attack ﬂying around after each attack.
Social and Ethical Consequences
Although it is difficult to estimate the costs of e-attacks on physical sys-
tem resources, it can be done, as we have seen above. However, estimating the
cost of such attacks on society is almost impossible.
For example, we are not able to put a price tag on the psychological
effects, which vary depending on the attack motive. Attack motives that result
in long-term psychological effects include hate and joke, especially on an indi-
vidual. Psychological effects may lead to reclusion and such a trend may lead
to dangerous and costly repercussions on the individual, corporations, and
society as a whole.
What about the cost of moral decay? There is a moral imperative in all
our actions. When human actions, whether bad or good, become so frequent,
they create a level of familiarity that leads to acceptance as “normal.” This type
of acceptance of actions formerly viewed as immoral and bad society is moral
decay. There are numerous e-attacks that can cause moral decay. In fact, because
of the recent spree of DDoS and e-mail attacks, one wonders whether the peo-
ple doing these acts seriously consider them immoral and illegal anymore!
We must also take into account the overall social implications. Consider
the following scenario: Suppose in society X, cheating becomes so rampant
that it is a daily occurrence. Children born in this cheating society grow up
accepting cheating as normal since it always happens. To these children and
generations after them, cheating may never ever be considered a vice. Suppose
there is a neighboring society Y which considers cheating bad and immoral,
and the two societies have, for generations, been engaged in commerce with
each other. But as cheating becomes normal in society X, the level of trust of
the people of X by the people of Y declines. Unfortunately, this results in a
corresponding decline in business activities between the two societies. While
society Y has a choice to do business with other societies that are not like X,
society X loses business with Y. This scenario illustrates a situation that is so
common in today’s international commerce, where cheating can be like any
other human vice. It also illustrates huge hidden costs that are difficult to quan-
tify and may cause society to suffer if it continuously condones certain vices
as normal.
Then there is the cost of loss of privacy. After the headline-making
e-attacks on CNN, eBay, E*Trade, and Amazon, and the e-mail attacks that
wreaked havoc on global computers, there is a resurgence in the need for quick

solutions to the problem that seems to have hit home. Many businesses are
responding with patches, filters, ID tools, and a whole list of solutions as we
will discuss in Chapter 8. Among these solutions are profile scanners and
straight e-mail scanners like Echlon. Echlon is a high-tech U.S. government
spying software housed in England. It is capable of scanning millions of e-mails
given specific keywords. The e-mails trapped by it are further processed and
subsequent actions are taken as warranted. Profile scanners are a direct attack on
individual privacy. This type of privacy invasion in the name of network secu-
rity is a threat to all of us. We will never estimate its price, and we are not ready
to pay! The blanket branding of every Internet user as a potential computer
attacker or a criminal until proven otherwise, by a software of course, is perhaps
the greatest challenge to personal freedoms and very costly to society.
Finally, who can put a price tag on the loss of trust? Individuals, once
attacked, lose trust in a person, group, company, or anything else believed to
be the source of the attack or believed to be unable to stop the attack. E-attacks,
together with draconian solutions, cause us to lose trust in individuals and
businesses, especially businesses hit by e-attacks. Customer loss of trust in a
business is disastrous for that business. Most importantly, it is the loss of inno-
cence that society had about computers.
As the growth of the Internet increases around the globe and computer
prices plummet, Internet access becomes easier and widespread, and as com-
puter technology produces smaller computers and other communication gadg-
ets, the number of e-attacks are likely to increase. The current, almost weekly,
reports of e-attacks on global computers is an indication of this trend. The
attacks are getting bolder, more frequent, indiscriminate, widespread, and
destructive. They are also becoming more difficult to detect as new program-
ming technologies and delivery systems are developed, thus making estimating
costs more complicated, difficult, specialized, and of course, expensive.
Currently very few people, including system administrators and security
chiefs, are able to estimate the costs of the many types of e-attacks. This is not
likely to get better soon because of the ever-increasing numbers of better-
trained hackers, the pulling together of hacker resources, the creation and shar-
ing of hacking tools, and the constantly changing attack tactics. Administrators
and security personnel, already overburdened with the rapidly changing secu-
rity environments, are not able to keep up with these fast changing security
challenges. So whenever attacks occur, very few in the network community
can make a plausible estimate for any of those attacks. In fact, we are not even
likely to see a good estimate model soon because:
• There is not one agreed-on list of parameters to be used in estimates.
• The costs, even if they are from the same type of attack, depend on

incidents. The same attack may produce different losses if applied at
different times on the same system.
• There is a serious lack of trained estimators. Very few system managers
and security chiefs have the know-how to come up with good input
parameters.
• Many of the intrusions still go undetected; even the few detected are
not properly reported.
• There is no standard format for system inventory to help administra-
tors and security experts put a price on many of the system resources.
• Poor readings from ID tools can result in poor estimates. Many of the
current ID tools are still giving false negatives and positives which
lead to sometimes overestimating or underestimating the outcomes.
• Although systems intrusion reporting is on the rise, there is still a code
of silence in many organizations that are not willing to report these
intrusions for both financial and managerial reasons. Some organiza-
tions even undervalue the costs and underreport the extent of system
intrusions for similar reasons.
• Depending on the sensitivity of the resources effected in an attack,
especially if strategic information is involved, management may decide
to underreport or undervalue the true extent of the intrusions.
Because of all these, a real cost model of e-attacks on society will be diffi-
cult to determine. We will continue to work with “magic figures pulled out of
hats” for some time to come. Without mandatory reporting of e-crimes, there
will never be a true picture of the costs involved. However, even mandatory
reporting will never be a silver bullet until every sector, every business, and
every individual gets involved in voluntary reporting of e-crimes.
Conclusion
The computer revolution that gave birth to the Internet, and hence to
cyberspace, has in most ways changed human life for the better. The benefits
of the revolution far outweigh the problems we have so far discussed in this
and preceding chapters. People have benefited far more from the revolution
in every aspect of life than they have been affected negatively. And it is
expected, from almost all signs, that new developments in computer technol-
ogy and new research will yield even better benefits for humanity.
However, we should not ignore the inconveniences or the social and eth-
ical upheavals that are perpetuated by the technology. We need to find ways
to prevent future computer attacks. Our focus, as we work on the root causes

of these attacks, is to understand what they are, who generates them, and why.
Dealing with these questions and ﬁnding answers to them are not easy tasks
for a number of reasons. Among those reasons are the following:
• The nature, topography, and motives of e-attacks change as computer
technology changes.
• Since 80 to 90 percent of all e-attacks are virus based, the development
of computer viruses is getting better and faster because of new devel-
opments in computer programming. If current trends continue, the
cut-and-paste programming we use today will get even better, resulting
in better viruses, virus macros, and applets.
• Current development in genetic programming, artiﬁcial intelligence,
and Web-based script development all point to new and faster devel-
opments of viruses and other programming-based types of e-attacks.
• The development in network programming, network infrastructure,
and programming languages with large API libraries will continue to
contribute to a kind of “team” effort in virus development, where virus
wares and scripts are easily shared and passed around.
• Free downloadable header tools are widely available. There are thou-
sands of hacker tools and wares on hundreds of hacker Web sites that
will eventually make designing viruses a thrilling experience.
• The public is still impressed by the “intelligence” of hackers.
For these and other reasons we have not touched on, e-attacks are likely
to continue, and the public, through legislation, law enforcement, self-
regulation, and education, must do whatever possible to keep cyberspace civ-
ilized.

Chapter 8
Information Security
Protocols and Best Practices
• Describe the evolution of and types of computer networks.
• Understand the fundamentals of a security protocol.
• Know what makes a good protocol.
• Know some of the best practices in a given type/area of information secu-
rity.
• Understand how the network infrastructure helps to perpetuate online
crimes.
• Recognize the difficulties faced in ﬁghting online crime.
Throughout this book, we discussed the vulnerability of computer net-
works, and the dangers, known and unknown, that computer networks face
from an unpredictable user clientele. Although it is difficult to know all pos-
sible types of attacks to computer networks, we have, based on what is currently
known, tried to discuss and categorize these attacks and how they affect the
victim computer network systems. In this chapter we will continue with this
discussion. However, we will focus on the known security protocols and best
practices that can be used to protect an enterprise network.
In securing networks, or cyberspace in general, the following protocols
and best practices are worth investing in: a good security policy, thorough and
consistent security assessments, an effective ﬁrewall regime, strong crypto-
graphic systems, authentication and authorization, intrusion detection, vigilant
virus detection, legislation, regulation, self-regulation, moral and ethics edu-
cation, and a number of others.
123

A Good Security Policy
According to RFC 2196, a security policy is a formal statement of the
rules by which people who are given access to an organization’s technology
and information assets must abide.1
The strength of an organization’s systems
security is determined by the details in its security policy. The security policy
is the tool that says no when no needs to be said. The no must be said because
the system administrator wants to limit the number of network computers,
resources, and capabilities people use to ensure the security ofthe system. One
way of doing this fairly is by implementing a set of policies, procedures, and
guidelines that tell all employees and business partners what constitutes accept-
able and unacceptable use of the organization’s computer system. These poli-
cies, procedures, and guidelines constitute the organization’s security policy.
The security policy also spells out what resources need to be protected and
how the organization can protect such resources.A security policy is a living
set of policies and procedures that impact and potentially limit the freedoms
and, of course, levels of individual security responsibility of all users. Such a
structure is essential to an organization’s security. There are, however, those
in the security community who do not think much of a security policy. We
believe security policies are very important in the overall security plan of a
system for several reasons including:
• Firewall installations: If a functioning firewall is to be configured, its
rule base must be based on a sound security policy.
• User discipline: All users in the organization who connect to a net-
work like the Internet through a firewall, must conform to the security
policy.
Without a strong security policy to which every employee must conform,
the organization may suffer a loss of data and employee productivity all because
employees spend time fixing holes, repairing vulnerabilities, and recovering
lost or compromised data, among other things.
The security policy should be flexible enough to allow as much access as
necessary for individual employees to do their assigned tasks; full access should
only be granted to those whose work calls for such access. Also, the access pol-
icy, as a rule of thumb, should be communicated as fully as possible to all
employees and employers. There should be no misunderstanding whatsoever.
According to Mani Subramanian, a good security policy should2
:
• Identify what needs to be protected;
• Determine which items need to be protected from authorized access,

unauthorized or unintended disclosure of information and denial of
service;
• Determine the likelihood of attack;
• Implement the most effective protection; and
• Review the policy continuously and update it if weaknesses are found.
Merike Kaeo3
suggests that a security policy must:
• Be capable of being implemented technically;
• Be capable of being implemented organizationally;
• Be enforceable with security tools where appropriate and with sanc-
tions where prevention is not technically feasible;
• Clearly define the areas of responsibility for users, administrators, and
management; and
• Be flexible and adaptable to changing environments.
A security policy covers a wide variety of topics and serves several impor-
tant purposes in the system security cycle. Constructing a security policy is
like building a house, it needs a lot of different components that must fit
together. The security policy is built in stages and each stage add value to the
overall product making it unique to the organization. To be successful, a secu-
rity policy must:
• Have the backing of the organization’s top management.
• Involve everyone in the organization by explicitly stating everyone’s
role and the responsibilities in the security of the organization.
• Precisely describe a clear vision of a secure environment, stating what
needs to be protected and the reasons for it.
• Set priorities and costs of the items to be protected.
• Be a good teaching tool for everyone in the organization about secu-
rity, the items to be protected and why and how they are protected.
• Set boundaries on what constitutes appropriate and inappropriate
behavior as far as security and privacy of the organization resources
are concerned.
• Create a security clearinghouse and authority.
• Be flexible enough to adapt to new changes.
• Be consistently implemented throughout the organization.
To achieve all those, Jasma suggests the following core steps4
:
• Determine the resources that must be protected and for each resource
draw a profile of its characteristics. Such resources should include
8—Information Security Protocols and Best Practices 125

physical, logical, network, and system assets. A table of these items,
in order of importance should be developed.
• For each identified resource, determine from whom you must protect
it.
• For each identified resource, determine the types of potential threats
and the likelihood of such threats. Threats can be denial of service,
disclosure or modification of information, or unauthorized access. For
each threat, identify the security risk and construct a table for these
in order of importance.
• Develop a policy team consisting of at least one member each from
senior administration, legal, the employees on the frontline, and the
IT department. Also include an editor or writer to help with drafting
the policy.
• Determine what needs to be audited. Use programs like Tripwire to
perform audits on systems including security events on servers, fire-
walls and on selected network hosts. Auditable logs include logfiles
and object accesses on servers, firewalls and selected network hosts.
• Define acceptable use of system resources like e-mail, news, and the
Web.
• Consider how to deal with encryption, passwords, key creation and
distributions, and wireless devices that connect on the organization’s
network.
• Provide for remote access to accommodate workers on the road, those
working from home, and business partners who may need to connect
through a VPN.
From all this information develop two structures, one describing user
access rights to the resources identified and the other describing user respon-
sibilities in ensuring security for a given resource.
And finally, a good security policy must have the following components:
• A security policy access rights matrix.
• Logical access restriction to the system resources.
• Physical security of resources and site environment.
• Cryptographic restrictions.
• Policies and procedures.
• Common attacks and possible deterrents.
• A well-trained workforce.
• Equipment certification.
• Audit trails and legal evidence.
• Privacy concerns.

• Security awareness training.
• Incident handling.
Vulnerability Assessment
Vulnerability assessment is a periodic process that works on a system to
identify, track, and manage the repair of vulnerabilities on the system. Vul-
nerability assessment does a health check of the system. It is an essential secu-
rity process and best practice for the well-being of the system. The assortment
of items that are checked in this process vary depending on the organization.
It may include all desktops, servers, routers and firewalls. Most vulnerability
assessment services will provide system administrators with:
• Network mapping and system fingerprinting of all known vulnerabil-
ities.
• A complete vulnerability analysis and ranking of all exploitable weak-
nesses based on potential impact and likelihood of occurrence for all
services on each host.
• A prioritized list of mis-configurations.
At the end of the process, a final report is always produced detailing the
findings and the best way to go about overcoming such vulnerabilities. This
report consists of prioritized recommendations for mitigating or eliminating
weaknesses and, based on the organization’s operational schedule, it also con-
tains recommendations for further reassessments of the system on given time
intervals or on a regular basis.
Because of the necessity of the practice, vulnerability assessment has
become a very popular security practice and as a result, there has been a flurry
of software products created to meet the need. The popularity of the practice
has also led to a high level of expertise in the process as many security assess-
ment businesses have sprung up. However, because of the number of such com-
panies, trust is an issue. It is, however, advisable that a system administrator
periodically employ the services of an outsider to get a more objective view.
Security assessment services, usually target the perimeter and internal
systems of a private computer network, including scanning, assessment and
penetration testing, and application assessment.
Vulnerability Scanning
System and network scanning for vulnerabilities is an automated process
where a scanning program sends network traffic to all or selected computers

in the network and expects to receive return traffic that will indicate whether
those computers have known vulnerabilities. These vulnerabilities may include
weaknesses in operating systems, application software, and protocols.
Since vulnerability scanning is meant to provide a system administrator
with a comprehensive security review of the system, including both the perime-
ter and system internals, the vulnerability scanning services are aimed at spot-
ting critical security vulnerabilities and gaps in the current system’s security
practices. Because of the accuracy needed and aimed at by these services, com-
prehensive system scanning usually results in a number of both false positives
and negatives. It is the job of the system administrator to find ways of dealing
with these false positives and negatives. The final report produced after each
scan consists of strategic advice and prioritized recommendations to ensure
critical holes are addressed first. System scanning can be scheduled, depending
on the level of the requested scan, by the system user or the service provider,
to run automatically and report by automated, periodic e-mails to a designated
user. The scans can also be stored on a secure server for future review.
Vulnerability scanning has so far gone through three generations. The
first generation required either code or script, usually downloaded from the
Internet or fully distributed, to be compiled and executed for specific hardware
or platforms. Because they were code and scripts that were platform and hard-
ware specific, they always needed updates to meet specifications for newer
technologies.
These limitations led to the second generation, which had more power
and sophistication and provided more extensive and comprehensive reports.
Tools were able to scan multiple platforms and hardware and to isolate checks
for specific vulnerabilities. This was a great improvement. However, they were
not extensive or thorough enough, and quite often they gave false positives
and negatives.
The third generation was meant to reduce false reports by incorporating
a double, and sometimes triple, scan of the same network resources. It used
data from the first scan to scan for additional and subsequent vulnerabilities.
This was a great improvement because those additional scans usually revealed
more datagram vulnerabilities, the so-called second-level vulnerabilities. Those
second-level vulnerabilities, if not found in time and plugged, are used effec-
tively by hackers when data from less secure servers is used to attack more sys-
tem servers, thus creating cascade defects in the network.
System scanning for vulnerabilities in a network is a double-edged sword.
It can be used effectively by both system intruders and system security chiefs
to compile an electronic inventory of the network. As the scanner continuously
scans the network, it quickly identifies security holes and generates reports
identifying what the holes are and where they are in the network. The infor-

mation contained in the electronic inventory can be used by inside and outside
intruders to penetrate the network and by the system security team to plug
the identified loopholes. So to the network security team, vulnerability scan-
ning has a number of benefits including the following:
• It identifies weaknesses in the network, the types of weaknesses, and
where they are. It is up to the security team to fix the identified loop-
holes.
• Once network security administrators have the electronic network
security inventory, they can quickly and thoroughly test the operating
system privileges and permissions, the chief source of network loop-
holes, test the compliance to company policies, the most likely of net-
work security intrusions, and finally set up a continuous monitoring
system. Once these measures are taken, it may lead to fewer security
breaches, thus increasing customer confidence.
• When there are fewer and less serious security breaches, maintenance
costs are lower and the worry of data loss is diminished.
Types of Scanning Tools
There are hundreds of network security scanning tools and scripts on
the market today. Each one of these tools, when used properly, will find dif-
ferent vulnerabilities. As network technology changes, accompanied by the
changing landscape of attacks and the advances in virus generation and other
attack tools, it is difficult for any one vulnerability tool or script to be useful
for a large collection of system vulnerabilities. So most security experts, to be
most effective, use a combination of these tools and scripts. The most com-
monly used tools usually have around 140 settings which are carefully used to
change the sensitivity of the tool or to target the tool to focus the scan.
For commercial vulnerability scanners and scripts, we will review the
most current tools and scripts. They are divided into two categories: network
based and host based. Network-based tools are meant to guard the entire net-
work and they scan the entire network for a variety of vulnerabilities. They
scan all Internet resources including servers, routers, firewalls, and local-based
facilities. Since a large percentage of network security risk comes from within
the organization, from inside employees, host-based scanning, focuses on a
single host that is assumed to be vulnerable. It requires an installation on the
host to scan the operating system and hardware of the machine. At the oper-
ating system level, the scanner checks on missing security checks, vulnerable
service configurations, poor password policies, and bad or poor passwords.
One of the most commonly used scanners today is Nmap, a network port

scanning utility for single hosts and small and large networks. Nmap supports
many scanning techniques including Vanilla TCP connect, TCP SYN (half
open), TCP FIN, Xmas or NULL, TCP FTP proxy (bounce attack), SYN/
FIN, IP fragments, TCP ACK and Windows, UDP raw ICMP port unreach-
able, ICMP (ping-sweep), TCP ping, direct (non-portmapper) RPC, remote
OS identification by TCP/IP fingerprinting, and reverse-identity scanning.
When fully configured, Nmap can perform decoy scans using any selec-
tion of TCP addresses desired by its operator. Nmap can also simulate a coor-
dinated scan to target different networks in one country or a number of
countries all at the same time. It can also hide its activities in a barrage of what
appears to the user or system administrator to be multinational attacks. It can
spread out its attacks to hide below a monitoring threshold set by the system
administrator or the system security team. Nmap is extremely effective at iden-
tifying the types of computers running in a targeted network and the poten-
tially vulnerable services available on every one of them.
Vulnerability Assessment
and Penetration Testing
Vulnerability assessment and penetration testing is another important
phase of system security vulnerability assessment. It should be intensive, com-
prehensive and thorough in the way it is carried out. It is aimed at testing the
system’s identified and unidentified vulnerabilities. All known hacking tech-
niques and tools are tested during this phase to reproduce real-world attack
scenarios. From this phase of intensive real-life system testing, sometimes
obscure vulnerabilities are found, processes and procedures of attack are iden-
tified, and sources and severity of vulnerabilities are categorized and prioritized
based on the user provided risks.
Application Assessment
Demands on system application software increase as the number of serv-
ices provided by computer network systems skyrocket, and there are corre-
sponding demands for application automation and new dynamism of these
applications. Such dynamism introduced in application software has opened
a new security paradigm in system administration. Many organizations have
gotten a sense of these dangers and are making substantial progress in protect-
ing their systems from attacks via Web-based applications. Assessing the secu-
rity of system applications is, therefore, becoming a special skills requirement
needed to secure critical systems.

Firewalls
A firewall is a combination of hardware and software used to police net-
work traffic that enters and leaves a network, thus isolating an organization’s
internal network from a large network like the Internet. In fact, a firewall is a
computer with two network cards as interfaces—that is, an ordinary router,
as we discussed in Chapter 5.
According to both Smith5
and Stallings,6
firewalls commonly use the fol-
lowing forms of control techniques to police network traffic inflow and out-
flow:
• Direction control: This is to determine the source and direction of
service requests as they pass through the firewall.
• User control: This controls local user access to a service within the
firewall perimeter walls. By using authentication services like IPSec,
this control can be extended to external traffic entering the firewall
perimeter.
• Service control: This control helps the firewall decide whether the
type of Internet service is inbound or outbound. Based on this, the
firewall decides if the service is necessary. Such services may range
from filtering traffic using IP addresses or TCP/UDP port numbers
to provide an appropriate proxy software for the service.
• Behavior control: This control determines how particular services at
the firewall are used. The firewall chooses from an array of services
available to it.
Firewalls are commonly used in organizational networks to exclude
unwanted and undesirable network traffic entering the organization’s systems.
Depending on the organization’s firewall policy, the firewall may completely
disallow some traffic or all of the traffic, or it perform a verification on some or
all of the traffic. There are two commonly used organization firewall policies:
(i) Deny everything: A deny-everything-not-specifically-allowed policy
sets the firewall to deny all services and then add back those services
allowed.
(ii) Allow everything: An allow-everything-not-specifically-denied policy
sets the firewall to allow everything and then deny the services con-
sidered unacceptable.
Each one of these policies enables well-configured firewalls to stop a large
number of attacks. For example, by restricting and/or limiting access to host

systems and services, firewalls can stop many TCP-based, denial of service
attacks by analyzing each individual TCP packet going into the network and
they can stop many penetration attacks by disallowing many protocols used
by an attacker. In particular firewalls are needed to prevent intruders from7
:
• Entering and interfacing with the operations of an organization’s net-
work system,
• Deleting or modifying information that is either stored or in motion
within the organization’s network system, and
• Acquiring proprietary information.
There are two types of firewalls: packet filtering and application proxy.
In addition, there are variations in these two types, commonly called gateway
or bastion.
Packet Filter Firewalls
A packet filter firewall is a multilevel firewall, in fact a router, that com-
pares and filters all incoming and sometimes outgoing network traffic passing
through it. It matches all packets against a stored set of rules. If a packet
matches a rule, then the packet is accepted. If a packet does not match a rule,
it is rejected or logged for further investigation. Further investigations may
include further screening of the datagram, in which case the firewall directs
the datagram to the screening device. After further screening, the datagram
may be let through or dropped. Many filter firewalls use protocol specific fil-
tering criteria at the data link, network, and transport layers. At each layer,
the firewall compares information in each datagram, like source and destina-
tion addresses, type of service requested, and the type of data delivered. A
decision to deny, accept, or defer a datagram is based on one or a combination
of the following conditions8
:
• Source address.
• Destination address.
• TCP or UTP source and destination port.
• ICMP message type.
• Payload data type.
• Connection initialization and datagrams using TCP ACK bit.
A packet filter firewall is itself divided into two configurations. One is a
straight packet filter firewall, which allows full-duplex communication. This
two-way communication is made possible by following specific rules for com-

municating traffic in each direction. Each datagram is examined for the specific
criteria given above and if conformity to direction-specific rules is established,
the firewall lets the datagram through.
The second configuration is the stateful inspection packet filter firewall,
also a full-duplex filter firewall; however, it filters using a more complex set of
criteria that involves restrictions that are more than those used by a straight
packet filter firewall. These complex restrictions form a set of one-way rules
for the stateful inspection filter firewall.
Figure 8.1 shows a packet filter firewall in which all network traffic from
source address xxx.xx.1.4 using destination port y, where y is some of the well-
known port numbers and X is an integer, is dropped or put in a trash.
Application Proxy Firewalls
Application proxy firewalls provide higher levels of filtering than packet
filter firewalls by examining individual packet data streams. An application
proxy can be a small application or a part of a big application that runs on the
firewall. Because there is no direct connection between the two elements com-
municating across the filter, unlike in the case of the packet filter firewalls, the
Figure 8.1 A Packet Filter Firewall

firewall generates a proxy for each application generated by a communicating
element. The proxy inspects and forwards each application-generated traffic.
Because each application proxy filters traffic based on application, it is able to
log and control all incoming and outgoing traffic and to offer a higher degree
of security and flexibility in accepting additional security functions, like user
level authentication, end-to-end encryption, intelligent logging, information
hiding, and access restrictions based on service types. A proxy filter firewall is
shown in Figure 8.2.
Internal networks like LANs usually have multiple application proxy fire-
walls that may include telnet, WWW, FTP, and SMTP (e-mail). Although
application proxy firewalls are great as high-level filtering devices, they are
more expensive to install because they may require installing a proxy firewall
for each application an organization has and that can be expensive to acquire,
install, and maintain.
According to Lincoln Stein,9
proxy firewalls are themselves divided into
two types:
(i) Application-level proxy firewall with specific application protocols:
For example, there is an application-level proxy for HTTP, one for
FTP, one for e-mail, and so on. The filtering rules applied are specific
to the application network packet.
(ii) Circuit-level proxy firewall with low-level general propose protocols:
This type of proxy firewall treats all network packets like many black
boxes to be forwarded across the filter or a bastion or not. It only filters
on the basis of packet header information. Because of this, it is faster
than its cousin the application-level proxy.
Acombinationofthefilterandproxyfirewallsisagatewaycommonlycalled
a bastion gateway which gives it a medieval castle flavor. In a firewall, packets
originating from the local network and those from outside the network can only
reach their destinations by going through the filter router and then through
the proxy by station. The gateway or bastion firewall is shown in Figure 8.3.
Each application gateway combines a general purpose router to act as a
traffic filter and an application-specific server through which all applications
data must pass.
Use of Strong Cryptography
When there is no trust in the media of two communicating elements,
there is always a need to “hide” the message before transmitting it through the
untrusted medium. The concept of hiding messages is as old as humanity itself.

Figure 8.2 A Proxy Filter Firewall
Figure 8.3 An Application Gateway/Bastion Firewall

Julius Caesar used to hide his messages whenever he sent them to acquaintances
or to his generals in battle. A method of hiding or disguising messages is called
a cryptosystem. A cryptosystem is a collection of algorithms. Messages are dis-
guised using these algorithms. Each algorithm has a key used to decrypt the
message encrypted using that algorithm. Cryptography is the art of creating
and using cryptosystems. The word cryptography comes from Greek meaning
“secret writing.” But cryptography is one side of the coin of dealing with dis-
guised messages; the other side is analyzing and making sense of a disguised
message. Cryptanalysis is the art of breaking cryptosystems. Cryptology, there-
fore, is the study of both cryptography and cryptanalysis. Cryptographic sys-
tems have four basic parts:
(i) Plaintext: This is the original message before anything is done to it. It
is still in either the human readable form or in the format the sender
of the message created it in.
(ii) Ciphertext: This is the form the plaintext takes after it has been
encrypted using a cryptographic algorithm. It is an intelligible form.
(iii) Cryptographic algorithm: This is the mathematical operation that
converts plaintext into ciphertext.
(iv) Key: This is the tool used to turn ciphertext into plaintext.
There are two types of cryptosystems: symmetric and asymmetric.
Symmetric Encryption
In symmetric cryptosystems, usually called conventional encryption, only
one key, the secret key, is used to both encrypt and decrypt a message. Figure
8.4 shows the essential elements of a symmetric encryption.
For symmetric encryption to work, the two parties must ﬁnd a sharable
and trusted scheme to share their secret key. The strength of algorithms rests
with the key distribution technique, a way to deliver the key to both parties.
Several techniques are used including Key Distribution Centers (KDC). In
the KDC, each participant shares a master key with the KDC. Each participant
requests a session key from the KDC and uses the master key to decrypt the
session key from the KDC.
Asymmetric Encryption
In asymmetric cryptosystems two keys are used. To encrypt a message, a
public key is used and to decrypt the message a private key is used. Figure 8.5
shows the basic elements in asymmetric encryption.

The public key is made available to the public and the private key is kept
private. The sender encrypts the message using the recipient’s public key. The
recipient decrypts the ciphertext using his or her private key.
While there are many algorithms for the conventional or symmetric
encryption, there are only a few asymmetric algorithms.
Authentication and Authorization
Authentication is the process of verifying the identity of a person or a
source of information. The process uses information provided to the authen-
ticator to determine whether someone or something is, in fact, who or what
it is declared to be. In computing, the process of authentication commonly
involves someone, usually the user, presenting a password provided by the sys-
tem administrator to logon. The user’s possession of a password is meant to
guarantee that the user is authentic. It means that at some previous time, the
Figure 8.4 Symmetric Encryption
Figure 8.5 Asymmetric Encryption

user requested a self-selected password from the system administrator, and the
administrator assigned or registered one to the user.
Generally, authentication requires the presentation of credentials or items
of value to the authenticating agent to prove the claim of who one is. The
items of value or the credentials are based on several unique factors that show
something you know, something you have or something you are10
:
• Something you know means something you mentally possess. This
could be a password, a secret word known by the user and the authen-
ticator. While this method is cheap to administrate, people often for-
get their passwords, and system administrators must ensure that
password files are stored securely. The user may use the same password
on all system logons or may change it periodically, which is recom-
mended. Examples of this factor include passwords, pass-phrases, and
PINs (Personal Identification Numbers).
• Something you have is any form of issued or acquired self-identification
like a SecurID, CryptoCard, Activcard, or SafeWord. This form is
slightly safer than something you know because it is hard to abuse
individual physical identifications. For example, it is easier to forget
the number on the card than losing the card itself.
• Something you are is a physical attribute or characteristic like voice,
fingerprint, iris pattern or other biometric. While one can lose some-
thing they have and forget something they know, it is not possible to
lose something you are. So this seems to be the safest way to guarantee
the authenticity of an individual. This is why biometrics are now a
very popular way of identification. Although biometrics are very easy
to use, biometric readers are still very expensive.
To the top three factors above, let us also add another factor, though it
is seldom used—somewhere you are:
• Somewhere you are is usually based on either physical or logical loca-
tion of the user. Consider for example a terminal that can be used to
access certain resources.
In everyday use, authentication is implemented in three ways1
1
:
(i) Basic authentication involves a server which maintains a user file of
either passwords and usernames or some other useful piece of authen-
ticating information. This information is always examined before
authorization is granted. Although this is the most common way com-

puter network systems authenticate users, it has several weaknesses,
including forgetting and misplacing authenticating information like
passwords.
(ii) In challenge-response authentication, the server or any other authen-
ticating system generates a challenge to the host requesting authenti-
cation and expecting a response.
(iii) Centralized authentication is when a central server authenticates,
authorizes, and audits all network users. If the authentication process
is successful, the client seeking authentication is then authorized to
use the requested system resources, otherwise the authentication
process fails and authorization is denied.
Types of Authentication
There are two types of authentication in use today: non-repudiable and
repudiable authentication.
Non-Repudiable Authentication
Something you are involves physical characteristics that cannot be denied,
therefore, authentication based on it cannot be denied. This is a non-
repudiable authentication. Biometrics can positively verify the identity of an
individual because biometric characteristics cannot be forgotten, lost, stolen,
guessed or modified by an intruder. They, therefore, present a very reliable
form of access control and authorization. It is also important to note that con-
temporary applications of biometric authorization are automated, which fur-
ther eliminates human error in verification. As technology improves and our
understanding of human anatomy increases, newer, more sensitive and accurate
biometrics are being developed.
Next to biometrics as non-repudiable authentication items are undeniable
and confirmer digital signatures. These signatures, developed by Chaum and
van Antwerpen, cannot be verified without the help of a signer and cannot,
with nonnegligible probability, be denied by the signer. Signer legitimacy is
established through a confirmation or denial protocol.12
Many undeniable dig-
ital signatures are based on RSA structure and technology, which gives them
provable security making the forging of undeniable signatures as hard as forg-
ing standard RSA signatures.
Confirmer signatures13
are a type of undeniable signatures where signa-
tures may also be further verified by an entity called the confirmer, designated
by the signer.
Lastly, there are chameleon signatures, a type of undeniable signatures

where the validity of the content is based on the trust of the signer’s commit-
ment to the contents of the signed document. In addition, the recipient of the
signature is not allowed to disclose the contents of the signed information to
any third party without the signer’s consent.14
Repudiable Authentication
Any information derivable from “what you know” and “what you have”
can present problems if presented to the authenticator because the information
can be unreliable. It can be unreliable because such information suffers from
several well-known problems, including possessions that are lost, forged or
easily duplicated, knowledge that is forgotten, and taken together, knowledge
and possessions that are shared or stolen. Authentication based on this infor-
mation is, therefore, easy to repudiate.
Authentication Methods
Several authentication methods are in use today. The most common are
password authentication, public-key authentication, remote authentication,
and anonymous authentication.
Password Authentication
Password authentication is the oldest, most durable, and most widely
used of all the methods we will discuss. It is set up by default in many systems.
Sometimes, it can be interactive, using the newer keyboard-interactive authen-
tication. Password authentication has several flavors including, reusable pass-
words, one-time passwords, challenge-response passwords, and combined-
approach authentication.
• Reusable passwords have two types: user and client authentication.
User authentication, the most common and most familiar to most
users, is always initiated by the user, who sends a request to the server
for authentication and authorization for use of a specified system
resource. Upon receipt of the request, the server prompts the user for
a username and password. Upon submission of these, the server checks
for a match against copies in its database. Based on the match, author-
ization is granted. In client authentication, on the other hand, the user
first requests authentication and then authorization from the server
to use a system or a specified number of system resources. An authen-
ticated user may not be able to use any system resource the user wants.

This authentication establishes user authorization to use the requested
resources in the amount requested and no more.
• One-time passwords, also known as session authentication, are used one
time and then are disposed of after each session. Passwords are ran-
domly generated using powerful random number generators which
reduce the chances of their being guessed. There are several schemes
of one-time passwords. The most common are: S/Key and token. An
S/Key password is a one-time password generation scheme defined in
RFC 1760 and is based on MD4 and MD5 encryption algorithms. It
was designed to fight against replay attacks where, in a login session for
example, an intruder eavesdrops on the network login session and gets
the password and user ID for the legitimate user. Its protocol is based
on a client-server model, where the client initiates the S/Key exchange
by sending the first packet, to which the server responds with an ACK
and a sequence number. A token password is a password generation
schemethatrequirestheuseofaspecialcardlikeasmartcard.Thescheme
is based on two schemes: challenge response and time synchronous.
• Challenge-response passwords uses a handshake authentication
process in which the authenticator issues a challenge to the user seek-
ing authentication. The user must provide a correct response in order
to be authenticated. The challenge may take many forms depending
on the system. In some systems the challenge is in the form of a mes-
sage indicating “unauthorized access” and requesting a password. In
other systems, it may be a simple request for a password, a number, a
digest, or a nonce (a server-specified data string which may be uniquely
generated each time a server generates a 401 server error). The person
seeking authentication must respond to the system challenge. Nowa-
days, responses are a one-way function using password tokens, com-
monly referred to as asynchronous tokens. When the server receives
the user response, it checks to be sure the password is correct. If so,
the user is authenticated. If not, or if for another reason the network
does not want to accept the password, the request is denied.
• Combined-approach authentication uses several combined authenti-
cation schemes for enhanced security. One of the most secure authen-
tication methods is to use a random challenge-response exchange using
digital signatures. When the user attempts to make a connection, the
authentication system, a server or a firewall, sends a random string
back as a challenge. The random string is signed using the user’s private
key, and sent back as a response. The authenticating server or firewall
can then use the user’s public key to verify that the user is indeed the
holder of the associated private key.15

Public Key Authentication
As we discussed earlier in this chapter, the process of public-key authen-
tication requires each user of the scheme to first generate a pair of keys and
store each in a file. Each key is usually between 1,024 and 2,048 bits in length.
Public-private key pairs are typically created using a key generation utility. As
we will discuss in the next chapter, the pair will consist of a user’s public and
private key pair. The server knows the user’s public key because it is published
widely. However, only the user has the private key.
Public key systems are routinely used by authentication systems to
enhance system security. The centralized authentication server commonly
known as the access control server (ACS), is in charge of authentication using
public key systems. When a user tries to access an ACS, it looks up the user’s
public key and uses it to send a challenge to the user. The server expects a
response to the challenge where the user must use his or her private key. If the
user then signs the response using his or her private key, he or she is authen-
ticated as legitimate. To enhance public key security, the private key never
leaves the user’s machine, and therefore, cannot be stolen or guessed like a
password. In addition, the private key has a passphrase associated with it, so
even if the private key is stolen, the attacker must still guess the passphrase in
order to gain access.
Public-key authentication has several flavors including secure sockets
layer, kerberos, and MD5 authentication:
• In Secure Sockets Layer (SSL) authentication, authentication, encryp-
tion, and data integrity are provided using public key infrastructure
(PKI). SSL authentication, being cryptographic based, uses a
public/private key pair that must be generated before the process can
begin. Communicating elements acquire verification certificates from
a certificate authority (CA), a trusted third party between any two
communicating elements like network servers, that certify that the
other two or more entities involved in the intercommunication,
including individual users, databases, administrators, clients, and
servers are who they say they are. These certificates are signed by cal-
culating a checksum over the certificate, encrypting the checksum and
other information using the private key of a signing certificate. User
certificates can be created and signed by a signing certificate which
can be used in the SSL protocol for authentication purposes.
• Kerberos authentication is a network authentication protocol that
provides strong authentication for client/server applications by using
PKI technology. Kerberos is typically used when a user on a network

is attempting to make use of a network service and the service wants
assurance that the user is who he says he is. To that end, the kerberos
user gets a ticket that is issued by the kerberos authentication server
(AS). The service then examines the ticket to verify the identity of
the user. If all checks out, then the user is issued an access ticket.16
• MD5 authentication is one of the standard encryption algorithms in
use today for authentication. The authentication process using MD5
is very simple. Each user has a file containing a set of keys that are used
as input into an MD5 hash. The information being supplied to the
authenticating server, like passwords, has its MD5 checksum calcu-
lated using these keys, and is then transferred to the authenticating
server, along with the MD5 hash result. The authenticating server
then gets user identity information like a password, obtains the user’s
set of keys from a key file, and then calculates the MD5 hash value. If
the two are in agreement, authentication is successful.17
Remote Authentication
Not all users are directly connected to the networks whose services they
want to use. In fact, many workers use company resources remotely while they
are on the road. So remote authentication is essential for many system admin-
istrators. Remote authentication is used to authenticate those users who dial
in to the ACS from a remote host. This can be done several ways including
using secure remote procedure call, dial-up, and remote authentication dial-
in user services authentication:
• Secure Remote Procedure Call (RPC) authentication is used by clients
who do not need to identify themselves to the server, and the server
does not require any identification from the client. Services falling in
this category, like the Network File System (NFS), require stronger
security than the other services and RPC authentication provides that
degree of security. Since the RPC authentication subsystem package
is open ended, different forms and multiple types of authentication
can be used by RPC including: NULL authentication, UNIX authen-
tication, data encryption standard (DES) authentication, DES
Authentication Protocol, and Diffie-Hellman Encryption.
• Dial-up authentication authenticates a remote user, who is usually on
a serial line or ISDN. The most common dial-up connection is the
Point-to-Point Protocol (PPP). Dial-up authentication services
authenticate the peer device, not the user of the device. There are sev-
eral dial-up authentication mechanisms. For example, PPP authenti-

cation has the following mechanisms: Password Authentication Pro-
tocol (PAP), the Challenge Handshake Protocol (CHAP), and the
Extensible Authentication Protocol (EAP).18
• Remote Authentication Dial-in User Services (RADIUS) is a common
user protocol that provides user dial-in to the ACS which does the
user authentication. Because all information from the remote host
travels in the clear, RADIUS is considered to be vulnerable to attacks
and, therefore, not secure.
Anonymous Authentication
There are many times a system administrator may want outside users to
access public areas of the network without accessing the entire system. Clients
who need this type of access typically use anonymous authentication. In order
to give them access to some system resources, for example to a company Web
site, these users, usually customers, are given access to the resources via a special
anonymous account. System services that are used by many users who are not
indigenous, like the World Wide Web service or the FTP service, must include
an anonymous account to process anonymous requests.
Digital Signature-Based Authentication
Digital signature-based authentication is an authentication technique
that does not require passwords and usernames. A digital signature is a cryp-
tographic scheme used by the message recipient and any third party to verify
the sender’s identity and/or message for authenticity. It consists of an elec-
tronic signature that uses public key infrastructure (PKI) to verify the iden-
tity of the sender of a message or the signer of a document. The scheme may
include a number of algorithms and functions including the digital signature
algorithm (DSA), Elliptic curve digital signature and algorithm (ECDSA),
account authority digital signature, authentication function, and signing func-
tion.19
Wireless Authentication
Because of the growing use of wireless technology, mobile computing has
skyrocketed in the last several years. However, wireless technology has had a
persistent low security problem that this rapid growth makes worse. There is
a growing need for wireless network authentication for mobile devices since
they connect to ﬁxed networks as well as mobile networks. The IEEE 802.1X,
through its Extensible Authentication Protocol (EAP), has built-in authenti-

cation for mobile unit users. This authentication requires Wi-Fi mobile units
to authenticate with the network servers that they seek to connect to.
Intrusion Detection
Intrusion detection (ID) is a new technology that detects the character-
istic signatures of software used in cyber attacks. The detection software uses
the signatures to determine the nature of the attacks. At each different level
of network investigative work, there is a different technique of network traffic
information gathering, analysis, and reporting.
Intrusion detection operates on network traffic entering or already within
the network. Designers of ID tools believe that anomalies in the traffic will
lead to distinguishing between intruders and legitimate users of the network.
The anomalies resulting from the ID analyses are actually large and noticeable
deviations from historical patterns of usage. ID systems are supposed to iden-
tify three categories of users: legitimate users, legitimate users performing
unauthorized activities, and, of course, intruders who have illegally acquired
the required identification and authentication.
ID sensors are commonly and conveniently placed on the perimeter of a
private network, outside the organization’s firewalls. This usually behaves as
the last defense of the organization’s network, the last fence to the outside
network, usually the Internet. It is also becoming common to have sensors on
the same machine as the firewall. This approach gives the sensors more pro-
tection, making them less vulnerable to coordinated attacks. Although there
are some attacks that some sensors cannot see, this location is good as the first
line of defense since all possible attacks coming into the organization network
pass through this point. Other good locations for ID sensors are inside the
network on network subnets and on network hosts to monitor inside activi-
ties.
As more research is done in ID and as linkages are established between
ID and artificial intelligence, newer ID tools with embedded extended rule
bases that enable them to learn are being developed and, over time, they will
be able to make better analyses and, therefore, decisions. The debate is not
what kind of rule base to put in the ID tools, but what type. Currently, the
rule bases have been those that teach the ID tools the patterns to look for in
the traffic signature and to learn those patterns. For example, if an application
is not supported by the server, that application’s port number should never be
active. However, the new movement differs from the traditional embedded
rule bases. The focus now is actually to embed into these ID tools what Marcus
J. Tanum calls “artificial ignorance,” a rule base that teaches them the things

not to look for.20
People following this line of thought believe the rule base
will then be simpler and the product will be more effective.
The scope of ID systems is also changing in another direction. For a while
now, it has been assumed—wrongly—by management and many in the net-
work community that ID systems protect network systems from outside
intruders. But studies have shown that the majority of system intrusions are
actually from insiders. So newer ID tools focus on this issue. Also, the human
mind is the most complicated and unpredictable machine ever, so as new ID
tools are being built to counter system intrusions, new attack patterns are
being developed to take unpredictable human behavior into account. To keep
abreast of all these changes, ID systems must be constantly changing.
As all these changes are taking place, the primary focus of ID systems is
on the network as a unit where network packet data is collected by watching
network packet traffic and then it is analyzed based on network protocol pat-
tern norms, normal network traffic signatures, and network traffic anomalies
built in the rule base. The ID systems look for three things: signatures of
known attacks, anonymous behavior, and misuse patterns.21
Signatures of known attacks usually involve one of three common types22
:
(i) String: These signatures are used to monitor text strings that may indi-
cate a possible attack.
(ii) Port: These signatures are used to monitor for applications that make
port connection attempts. The monitoring is usually done on well-
known and frequently attacked ports. Most attacked ports include
port 20 for TCP, port 21 for FTP, and port 23 for telnet. A full list of
TCP ports that are attacked frequently was given in earlier chapters.
(iii) Header: These signatures monitor abnormal combinations in packet
headers for a number of known signatures like the IP address and
sequence number signatures.
Anonymous behaviors are detected when the ID tools take observed
activities and compare them to the rule-based profiles for significant devia-
tions. The profiles are commonly for individual users, groups of users, system
resource usages, and a collection of others as discussed below:
• An individual profile is a collection of common activities a user is
expected to do, with little deviation from the expected norm. This
may cover specific user events like the time being longer than usual
usage, recent changes in user work patterns, and significant or irregular
user requests.
• A group profile covers a group of users with common work patterns,

resource requests and usage, and historic activities. It is expected that
each individual user in the group follows the group activity patterns.
• A resource profile includes the monitoring of the use patterns of the
system resources like applications, accounts, storage media, protocols,
communications ports, and a list of many others the system manager
may wish to include. It is expected, depending on the rule-based pro-
file, that common uses will not deviate significantly from these rules.
Other profiles include executable profiles that monitor how executable
programs use the system resources. This, for example, may be used to monitor
strange deviations of an executable program if it has an embedded Trojan
worm or a trapdoor virus. In addition to executable profiles, there are also the
following profiles: work profile, which includes monitoring the ports; static
profile, which monitors other profiles, periodically updating them so that those
profiles cannot slowly expand to sneak in intruder behavior; and, a variation
of the work profile called the adaptive profile, which monitors work profiles
automatically updating them to reflect recent upsurges in usage. And finally,
there is also the adoptive rule-based profile which monitors historic usage pat-
terns of all other profiles and uses them to make updates to the rule base.23
Misuse patterns—that is, patterns of known misuse of system resources—
are also an effective focus for ID tools. These patterns, once observed, are
compared to those in the rule base that describe “bad” or “undesirable” usage
of resources. To achieve this, a knowledge database and a rule engine must be
developed to work together. Misuse pattern analysis is best done by expert
systems, model-based reasoning, or neural networks. We will not go further
in explaining how each one works. An interested reader is referred to the well-
written paper “AINT Misbehaving: A Taxonomy of Anti-Intrusion Tech-
niques” by R. Kenneth Bauer (http://www.sans.org/newlook/ resources/ID
FAQ/aint.htm).
But since networks are getting larger and traffic heavier, it is becoming
more and more difficult for the ID system to “see” all traffic on a switched
network like an Ethernet. This has led to a new approach of looking closer at
the host. So in general, ID systems fall into two categories: host based and
network based.
Host-Based Intrusion Detection Systems
Host-based intrusion detection systems (HIDS) techniques focus on the
network server to monitor specific user and application traffic handled by that
server. It is actually tracking log files and auditing traffic in and out of this one
machine. Besides tracking in and out traffic, HIDS also check on the integrity

of system files and watch the activities of all processes on the machine for
abnormal process behavior. Host-based ID systems are indeed either personal
firewalls or sensor agents. Personal firewalls, sometimes called wrappers, are
configured to look at all network packets, connection attempts, login attempts
and nonnetwork communications.
Agents are configured to monitor accesses and changes to critical system
files and changes in user privileges.24
Whether personal firewalls or agents,
host-based ID tools are good for monitoring a network system for intrusion
from insiders.
Advantages of HIDS
The concept of HIDS is slightly new. They came into widespread use in
the early and mid–1980s after studies showed that a large number of illegal
and illegitimate activities in organization networks actually originated with
the employees. Over the succeeding years as technology advanced, the HIDS
technology also advanced in tandem. More and more organizations are dis-
covering the benefits of HIDS on their overall security. Besides being faster
than their cousins the network-based intrusion detection systems (NIDS) and
because they are dealing with less traffic, HIDS offer additional advantages
including the following25
:
• The ability to verify success or failure of an attack quickly. Because
they log continuing events that have actually occurred, HIDS have
information that is more accurate and less prone to false positives than
their cousins the NIDS. This information can accurately and quickly
infer whether an attack was successful or not and a response can be
started early. In this role, HIDS complement the NIDS, as a verifica-
tion system.
• Low-level monitoring. Because HIDS monitor at a local host, they
are able to “see” low-level local activities such as file accesses, changes
to file permissions, attempts to install new executables, attempts to
access privileged services, changes to key system files and executables,
attempts to overwrite vital system files or attempts to install Trojan
horses or backdoors. These low-level activities can be detected very
quickly and the reporting is quick and timely, giving the administrator
time for an appropriate response. Some of these low-level attacks are
so small that no NIDS can detect them.
• Near real-time detection and response. HIDS have the ability to detect
minute activities at the target hosts and to report them to the admin-
istrator very quickly—at a rate near real-time. This is possible because

the operating system can recognize the event before any IDS can, in
which case, an intruder can be detected and stopped before substantial
damage is done.
• The ability to deal with encrypted and switched environments. Large
networks are routinely switch chopped into many smaller network
segments. Each one of these smaller networks is then tagged with a
NIDS. In a heavily switched network, it can be difficult to determine
where to deploy a network-based IDS to achieve sufficient network
coverage. This problem can be solved by using traffic mirroring and
administrative ports on switches, but this is not as effective. HIDS
provides the needed greater visibility into these switched environ-
ments by residing on as many critical hosts as needed. In addition,
because the operating systems see incoming traffic after encryption
has already been decrypted, HIDS that monitor the operating systems
can deal with these encryptions better than NIDS, which may not
even deal with them at all.
• Cost effectiveness. Because no additional hardware is needed to install
HIDS, there may be great savings for the organization. This compares
favorably with the big costs of installing NIDS, which requires dedi-
cated and expensive servers. In fact, in large networks that are switch
chopped require a large number of NIDS per segment, this cost can
add up.
Disadvantages of HIDS
Although they offer many advantages, HIDS have limitations in what
they can do. These limitations include the following26
:
• HIDS have a myopic viewpoint. Since they are deployed at a host,
they have a very limited view of the network.
• Since HIDS are close to users, they are more susceptible to illegal tam-
pering.
Network-Based
Intrusion Detection Systems
NIDS are network sensors conﬁgured to monitor all network traffic
including traffic on the communication media and on all network servers and
ﬁrewalls. They monitor the traffic on the network to detect intrusions. They
are responsible for detecting anomalous, inappropriate, or other data that may
be considered unauthorized and harmful occurring on a network. NIDS may

or may not run with firewalls because there are striking differences between
NIDS and firewalls. Firewalls are configured to allow or deny access to a par-
ticular service or host based on a set of rules. Only when the traffic matches
an acceptable pattern is it permitted to proceed, regardless of what the packet
contains. While NIDS also captures and inspects every packet that is destined
for the network regardless of whether it’s permitted or not, it is a silent listener,
acting only by generating an alert if the packet signature, based on the contents
of the packet, is not among the acceptable signatures.
There are several ways an NIDS sensor may be placed and run. It can
either be placed and run as an independent stand-alone machine where it
watches over all traffic entering the network from the outside, watches traffic
entering a subnet, or just monitors itself as the target machine to watch over
its own traffic. For example, in this mode, it can watch itself to see if somebody
is attempting a SYN flood or a TCP port scan.
While NIDS, if well placed, can be very effective in capturing all incom-
ing network traffic, it is possible that an attacker can evade this detection by
exploiting ambiguities in the traffic stream as seen by the NIDS. Mark Han-
dley, Vern Paxson, and Christian Kreibich list the sources of these exploitable
ambiguities as follows27
:
• Many NIDS do not have the capabilities to analyze the full range of
behavior that can be exposed by the user and allowed by a particular
protocol. The attacker can also evade the NIDS even if the NIDS per-
forms analysis for the protocol.
• Since NIDS are far removed from individual hosts, they do not have
full knowledge of each host’s protocol implementation. This knowl-
edge is essential for the NIDS to be able to determine how the host
may treat a given sequence of packets if different implementations
interpret the same stream of packets in different ways.
• Again, since NIDS do not have a full picture of the network topology
between the NIDS and the hosts, the NIDS may be unable to deter-
mine whether a given packet will even be seen by the hosts.
Advantages of NIDS
NIDS focus, placement, running, and requirements, all seem to give them
wonderful advantages over their cousins the firewalls and host-based IDS (as
we will see soon).28
These advantages are:
• The ability to detect attacks that a host-based system would miss
because NIDS monitor network traffic at a Transport Layer. At this

level, NIDS are able to look at, not only the packet addresses, but
also the packet port numbers from the packet headers. HIDS which
monitor traffic at a lower Link Layer may fail to detect some types of
attack.
• A difficulty removing evidence. Because NIDS are on dedicated
machines that are routinely protected, it is more difficult for an
attacker to remove evidence than it is with HIDS, which are near or
at the attacker’s desk. Also, since NIDS use live network traffic and it
is this traffic that is captured by NIDS when there is an attack, this
also makes it difficult for an attacker to remove evidence.
• Real-time detection and response. Because NIDS are at the most
opportune and strategic entry points in the network, they are able to
detect foreign intrusions into the network in real-time and report as
quickly as possible to the administrator for a quick and appropriate
response. Real-time notification, which many NIDS have now, allows
for a quick and appropriate response and can even let the administra-
tors allow the intruder more time as they do more and targeted sur-
veillance.
• The ability to detect unsuccessful attacks and malicious intent.
Because the HIDS are inside the protected internal network, they
never come into contact with many types of attack, since such attacks
are often stopped by the outside firewall. NIDS, especially those in
the DMZ, come across these attacks (those that escape the first fire-
wall) that are later rejected by the inner firewall and those targeting
the DMZ services that have been let in by the outer firewall. Besides
showing these attacks, NIDS can also record the frequency of these
attacks.
Disadvantages of NIDS
Although NIDS are very well suited to monitor all the traffic coming
into the network or subnet, they have limitations29
:
• Blind spots: Deployed at the borders of an organization’s network,
NIDS are blind to the whole inside network. As sensors are placed in
designated spots, especially in switched networks, NIDS have blind
spots—sometimes whole network segments they cannot see.
• Encrypted data: One of the major weaknesses of NIDS is on encrypted
data. They have no capabilities to decrypt encrypted data. They can
only scan unencrypted parts of the packets such as headers.

Challenges to Intrusion Detection
While ID technology has come a long way, and there is an exciting future
for it as the marriage between it and artificial intelligence takes hold, it faces
many challenges. Several problems still limit ID technology.
One problem is false alarms. Although the tools have come a long way
and are slowly gaining acceptance as they gain widespread use, they still pro-
duce a significant number of both false positives and negatives.
A second problem is that technology is not yet ready to handle a large
scale attack. This is because of ID’s very nature: It has to literally scan every
packet, every contact point, and every traffic pattern in the network. For larger
networks during a large scale attack, it is not possible to rely on the technology
to keep working with acceptable quality and grace. Unless there is a break-
through today, the technology in its current state cannot handle very fast and
large quantities of traffic efficiently.
Probably the biggest challenge is ID’s perceived, and sometimes exagger-
ated, capabilities. The technology, while good, is not a cure for all computer
network ills as some have pumped it up to be. It is just like any other good
security tool.
Virus Detection
A virus detection program, commonly called an antivirus program, is a
software program that monitors or examines a system, including its data and
program files, for the presence of viruses. Once a virus has infected a system,
it is vitally important that the virus be removed, whether it is active or dormant.
There are a number of techniques used by antivirus programs to detect a virus
in whatever stage it is in. Such techniques include detecting virus signatures,
file length, checksum, and symptoms.
A virus signature is a specific and unique series of bytes bearing unique
virus characteristics that is used like a human fingerprint to detect a virus. The
most common of these characteristics are part of the virus instructions. Every
virus has its own specific characteristics. The known characteristics are used
to build up defenses against future viruses. Although there are new viruses
created and distributed almost everyday, the most common viruses in circu-
lation, according to virus and e-attack reporting agencies and centers, are the
same old ones. So, it makes sense to use the historical facts of viruses and their
characteristics to create defenses against future e-attacks. Most of today’s
antivirus scanners use this technique to detect viruses in systems. One weakness
with signature detection is that only known viruses can be detected. This calls
for frequent updates to virus scanners to build up an archive of signatures.

File length is a useful detection item because viruses work by attaching
themselves to software as their surrogates. Usually when this happens, the
length of the surrogate software increases. Antivirus software works by com-
paring the length of the original file or software with the length of the file or
software whenever it is used. If the two lengths differ, this signals the existence
of a virus. Note that this method does not reveal the type of virus in the file
or data, it only detects the presence of a virus.
A checksum is a value calculated in a file to determine if data has been
altered by a virus without increasing file length. There are two ways a checksum
is used by antivirus checkers. One way is to compute the total number of bytes
in the file and store it somewhere. Every time the file is used, the antivirus
software recalculates the checksum and compares it with the original check-
sum. If the new value differs from the stored original, then the antivirus pro-
gram reports the existence of a virus. In the second approach, probably in small
files, checksum is computed as a sum of all binary words in a file. This method
is better used to detect those viruses that do not, in any way, increase the length
of a file, but simply alter its content. In transmission data, the checksum is
computed for data before it is transmitted and again after transmission. If a
virus was introduced between the source and destination, the checksum will
reveal it. Checksum should be used only when it is clear that the first time a
checksum was computed the file was virus free; otherwise, it will never detect
a virus that was already in the file the first time the file was used.
The symptoms of a virus, if found in a file or software, indicate the pres-
ence of a virus. Virus symptoms usually depend on the type of virus. Remember
that symptoms are not unique to any one virus. Several viruses may have similar
symptoms. Some of the most common symptoms are the following:
• Frequent or unexpected computer reboots.
• Sudden size increases in data and software.
• Disappearance of data files.
• Difficulty saving open files.
• Shortage of memory.
• Presence of strange sounds or text.
Legislation
As the Internet and its activities increase and as e-commerce booms, the
citizenry of every nation who represent special interests such as environmental
protection, media-carried violence, pornography, gambling, free speech, intel-
lectual property rights, privacy, censorship, and security are putting enormous

pressures on their national legislatures and other lawmaking bodies to enact
laws to curb Internet activities in ways that those groups feel best serve their
interests.
Already this is happening in countries like the United States, the United
Kingdom, Germany, France, China, and Singapore. The list grows every pass-
ing day. In all these countries, laws, some good, many repressive, are being
enacted to put limits on Internet activities. The recent upsurge of illegal Inter-
net activities, like the much publicized distributed denial of service and
headline-making e-mail attacks, have fueled calls from around the world for
legislative action to stop such activities. Yet, it is not likely that such actions
will stop or arrest the escalating rate of illegal activities in cyberspace. The
patchwork of legislation will not, in any meaningful way, put a stop to these
malicious activities in the near future. If anything, such activities are likely to
continue unabated unless and until long-term plans are in place. Such efforts
and plans should include, ﬁrst and foremost, an education in ethics.
Regulation
As the debate between the freedom of speech advocates and the protec-
tion of children crusaders heats up, governments around the world are being
forced to revisit, amend, and legislate new policies, charters, and acts. As we
will see in detail in the next section, this has been one of the most popular
and for politicians, the most visible means of Internet control. Legislative
efforts are backed by judicial and law enforcement machinery. In the United
States, a number of acts are in place and are enforceable. In the last few years,
many outdated acts have been revisited and updated.
Besides purely legislative processes which are more public, there are also
private initiatives working in conjunction with public judicial systems and law
enforcement agencies or through workplace forces. Examples abound of large
companies, especially high technology companies like software, telecommu-
nications, and Internet providers, coming together to lobby their national leg-
islatures to enact laws to protect their interests. Such companies are also
forming consortiums or partnerships to create and implement private control
techniques.
Self-Regulation
There are several reasons why self-regulation as a means of Internet con-
trol is appealing to a good cross section of people around the globe. One reason,

supported mostly by the free-speech advocates, is to prevent the heavy hand
of government from deciding what is or is not acceptable.
Although legislation and enforcement can go a long way in helping to
curb cybercrime, they are not the magic bullets that will eventually eradicate
cybercrime. They must be combined with other measures that must work
together. Probably one of the most effective prevention techniques is to give
users enough autonomy to regulate themselves, each taking on the responsi-
bility to the degree and level of control and regulation that best suits his or
her needs and environment. This self-regulated cyberspace control can be
done through two approaches: hardware and software.
Hardware-Based Self-Regulation
Hardware security controls and cyberspace regulation set by individual
users are varied and involve controlling access to hardware resources like mem-
ory, files, authentication routines for file access, password protection, and fire-
walls. Hardware controls are focused in six areas:
(i) Prevention restricts access to information on system resources like
disks on network hosts and network servers using technologies that
permit only authorized people to the designated areas. Such technolo-
gies include, for example, firewalls.
(ii) Protection routinely identifies, evaluates, and updates system security
requirements to make them suitable, comprehensive, and effective.
(iii) Detection deploys an early warning monitoring system for early dis-
covery of security breaches both planned and in progress.
(iv) Limitation cuts the losses suffered in cases of failed security.
(v) Reaction analyzes all possible security lapses and plans relevant reme-
dial efforts for a better security system based on observed failures.
(vi) Recovery recovers what has been lost as quickly and efficiently as pos-
sible and updates contingent recovery plans.
Software-Based Self-Regulation
The software approach is less threatening and, therefore, more user-
friendly and closer to the user. This means that it can either be installed by
the user on the user’s computer or by a network system administrator on a
network server. If installed by the user, the user can set the parameters for the
level of control needed. At a network level, whether using a firewall or specific
software package, controls are set based on general user consensus. Software
controls fall into two categories: ratings programs and filtering programs.30

Rating programs rate Internet content using the same principle the movie
industry uses when rating movies for violence, language, and sexual content.
Software rating labels enable Internet content providers to place voluntary
labels on their products according to a set of criteria. However, these labels
are not uniform throughout the industry, because they are provided by differ-
ent rating companies, including CyberPatrol, CYBERsitter, Net Nanny, and
Surf Watch. They all claim to provide a simple, yet effective rating system for
Web sites to protect children and free speech for everyone who publishes on
the World Wide Web. These labels are then used by the filtering program on
the user’s computer or server. The filtering programs always examine each Web
document header looking for a label.
Filtering software blocks documents and Web sites that contain materials
designated on a filter list, usually bad words and URLs. Filters are either client
based, where a filter is installed on a user’s computer or server based, where
the filters are centrally located and maintained. Server-based filters offer better
security because they are not easy to tamper with. Even though filtering soft-
ware, both server based and client based, has recently become very popular, it
still has serious problems and drawbacks like inaccuracies in labeling, restric-
tions on unrated material and just mere deliberate exclusion of certain Web
sites by an individual or individuals. Inaccuracies have many sources. Some
Web sites are blocked because they are near a file with some adult content. For
example, if some materials are in the same directory as the file with adult
content, the Web site with the file without adult content may be blocked.
Sometimes Web sites are blocked because they contain words deemed to be
distasteful. Such words are sometimes foreignwords with completely different
meanings. Further, the decision of the user to either block or unblock unrated
materials can limit the user’s access to useful information. Blocking software
works best only if all web materials are rated. But as we all know, with hundreds
of thousands of Web sites submitted everyday, it is impossible to rate all mate-
rial on the Internet, at least at the moment.
Mass Moral and Ethics Education
Perhaps one of the most viable tools to prevent and curb illegal cyberspace
activities, we believe, is mass moral and ethics education. This strong belief
we have about the value of teaching moral and ethics to all computer users
explains and justifies our inclusion of Chapters 2 through 4. In these chapters
we emphasized the importance of having a strong moral and ethics background
and how this creates a strong person with character. We are very aware that
character education is not easy and that schools across the United States have

been struggling with this issue. However, we believe character education should
not be left to the schools. Character education should start in the home. There
must be a strong family role in character education. Without this vital com-
ponent, there is limited value in character education and there will continue
to be the controversy we have today about it.
Although we advocate a strong mass moral and ethics education both at
home and in school, we are also aware of our diverse society and the difficulties
that come with that. However, the sooner we face these problems head-on the
better, because with modern technology and the forces of globalization, there
is no turning back. Societies the world over are heading to diversity full steam.
There are many people not convinced that character education alone can
do the job. To them we say, let us devise a strong framework that involves all
of us—the parents, the teachers, and you and I—to educate our children about
this new technology, the best use of it, and its perils. If action is to be taken,
now is the time to do so.
Formal character education should target the whole length of the edu-
cation spectrum from kindergarten through college. The focus and contact,
however, will differ depending on the selected level. For example, in elementary
education, it is appropriate to educate kids about the dangers of information
misuse and computer ethics in general, and the content and the delivery of
that content are measured for that level. In high school where the students are
more mature and curious, the content and the delivery system is more focused
and more forceful. The approach changes in college because here the students
are more focused on their majors and the intended education should reﬂect
this.
Occasional or continuous education is based on the idea that teaching
responsible use of information in general, and computer ethics in particular,
is a lifelong process. This responsibility should be and is usually passed on to
professionals. There are a variety of ways professions enforce this education
with their members. For many traditional professions, this is done through
the introduction and enforcement of professional codes, guidelines, and
canons. Other professions supplement their codes with a requirement of in-
service training sessions and refresher courses. Quite a number of professions
require licensing as a means of ensuring continuing education of its members.
Reporting Centers
The recent skyrocketing rise in e-attacks has prompted authorities look-
ing after the welfare of the general public to open up e-attack reporting centers.
The purpose of these centers is to collect all relevant information on cyber

attacks and make that information available to the general public. The centers
also function as the ﬁrst point of contact whenever one suspects or has con-
ﬁrmed an electronic attack. Centers also act as advice-giving centers for those
who want to learn more about measures to take to prevent, detect, and recover
from attacks.
In the United States, there are several federally supported and privately
funded reporting centers including the NIST Computer Security Resource
Clearinghouse, the Federal Computer Incident Response Capacity, the Center
for Education and Research in Information Assurance and Security, the
Carnegie-Mellon Emergency Response Team, the FedCIRC, and the National
Infrastructure Protection Center. These centers fall into two categories:
(i) Non–law enforcement centers that collect, index, and advise the pop-
ulation of all aspects of cyber attacks including prevention, detection,
and survivability.
(ii) Law enforcement centers that act as national clearinghouses for com-
puter crime, linking up directly with other national and international
computer emergency response teams to monitor and assess potential
threats. In addition, law enforcement centers may provide training for
local law enforcement officials in cooperation with private industry
and international law enforcement agencies. These centers do not only
focus on government break-ins but also on those in the private sector,
and they cover any crimes perpetrated over the wires, including those
involving telephones.31
Advisories
The rise in e-attacks has also prompted private industry and government
agencies to work together to warn the public of the dangers of e-attacks and
of the steps to take to remove the vulnerabilities thereby lessening the chances
of being attacked. Both major software and hardware manufacturers have been
very active and prompt in posting, sending, and widely distributing advisories,
vulnerability patches, and antivirus software whenever their products are hit.
Cisco, a major Internet infrastructure network device manufacturer, has been
calling and e-mailing its customers, mainly Internet service providers (ISPs),
worldwide notifying them of the possibilities of e-attacks that target Cisco’s
products. It also informs its customers of software patches that can be used to
resist or repair those attacks. It has also assisted in the dissemination of vital
information to the general public through its Web sites concerning those
attacks and how to prevent and recover from them. On the software front

Microsoft, the most affected target in the software arena, has similarly been
active, posting, calling, and e-mailing its customers with vital and necessary
information on how to prevent and recover from attacks targeting its products.
Besides the private sector, public sector reporting centers have also been active,
sending advisories of impending attacks and techniques to recover from
attacks.
Ad Hoc
There are many other efforts by groups, organizations, and individuals
that we have not so far discussed. In this section let us look at some of these.
The Role of Application
Service Providers
Businesses that choose to install computer networks soon ﬁnd that they
are in for a shocking surprise: The cost of the associated equipment is only
the tip of the monetary iceberg. The major cost of owning a network is the
preventive and reactionary maintenance and the people it takes to keep the
network running efficiently. Application service providers (ASPs), is a new
industry that has arisen over the past few years to alleviate the problems asso-
ciated with trying to keep up with computer networks. They take most of the
network functions, including security, outside the business to a centralized
location where efficient and reliable computers to take over the job of providing
data storage, application software, data backup, virus checks, and a host of
other functions that would normally be performed by the equipment and peo-
ple in the business. Small businesses especially do not have the capacity or
resources to do this. Teams of network specialists in all areas of network func-
tionalities are available around the clock.
Patching
Quite often companies release software to the public only to later ﬁnd
errors and loopholes through which attackers can gain access to the resources
on which the software is running. Upon becoming aware of these errors and
loopholes, companies issue patches in order to plug those errors. Security
chiefs, system administrators, and individuals should look for the most up-
to-date patches from software manufacturers and vendors.

Individual Responsibility
Newly installed operating systems on their ﬁrst runs enable all available
networking features of the computer system, giving hackers a chance to explore
system vulnerabilities. It is advisable for all individuals to play their role by
turning off all unneeded network services when installing a new operating sys-
tem.

Chapter 9
Security and Privacy in
Online Social Networks
• Understand the concepts of social networks.
• Learn about the growth of social networks.
• Understand security issues in social networks.
• Understand privacy issues in social networks.
• Learn the ethical framework of cyberspace.
Online Social Networks (OSNs)
A social network is a social mesh or structure consisting of individuals
(or organizations) called “nodes.” The nodes are then connected together by
one or more speciﬁc types of interdependency, such as friendship, kinship,
common attribute such as interest, like and dislike, common relationships,
beliefs, knowledge or prestige.1
The concept of social networking is not new.
Sociologists and psychologists have been dealing with and analyzing social
networks for generations. In fact social networks have been in existence since
the beginning of man. Prehistoric man formed social networks for different
reasons including security, access to food and the social wellbeing.
Online social networks (OSNs) are social networks with underlining
communication infrastructure links enabling the connection of the interde-
pendencies between the network nodes either digital or analog. The discussion
in this chapter will focus on these OSNs. In particular we will focus on two
types of online social networks:
• The traditional OSNs such as Facebook and MySpace. Many of these
can be accessed via mobile devices without the capability of dealing
with mobile content, and
161

• The Mobile OSNs (mOSNs) which are newer OSNs that can be
accessed via mobile devices and can deal with the new mobile con-
text.
The interdependency between nodes in the OSNs support social network
services among people as nodes. These interdependencies as relations among
people participating in the network services define the type of OSNs.
Types of Online Social Networks
The growth of the OSNs over the years since the beginning of digital
communication, saw them evolving through several types. Let us look at the
most popular types using a historical chronology.
The chat network was born out of the digital chatting anchored on a
chat room. The chat room was and still is a virtual room where people “gather”
just to chat. Most chat rooms have open access policies meaning that anyone
interested in chatting or just reading others’ chats may enter the chat room.
People can “enter” and “exit” any time during the chats. At any one time several
threads of the public chats may be going on. Each individual in the chat room
is given a small window on his or her communication device to enter a few
lines of text contributing to one or more of the discussion threads. This com-
munication occurs in real time and whatever every one submits to the chat
room can be seen by anyone in the chat room.
Chat rooms also have a feature where a participating individual can invite
another individual currently in the public chat room into a private chat room
where the two can continue with limited “privacy.” To be a member of the
chat room you must create a user name and members of the chat room will
know you by that. Frequent chatters will normally become acquaintances based
on user names. Some chat room software allows users to create and upload
their profiles so that users can know you more via your profile.
Although chat rooms by their own nature are public and free for all, some
are monitored for specific compliance based usually on attributes like topics
under discussion.
With the coming of more graphical based online services, the use of chat
room is becoming less popular especially to youth.
Another online social network is the blog network. “Blogs” are nothing
more than people’s online journals. Avid bloggers keep diaries of daily activi-
ties. These diaries sometimes are specific on one thread of interest to the blog-
ger or a series of random logs of events during a specific activity. Some blogs
are comment on specific topics. Some bloggers have a devoted following
depending on the issues.

The Instant Messaging Network (IMN) supports real time communica-
tion between two or more individuals. Like chat rooms, each participant in
the IMN must have a user name. To IM an individual, one must know that
individual’s username or screen name. The initiator of the IM is provided with
a small window to type the message and the recipient is also provided with a
similar window to reply to the message. The transcript of the interchange is
kept scrolling up both users’ screens. Unlike the chat room however, these
exchanges of short messages are private. Like in Chat Networks, some IMN
allow users to keep profiles of themselves.
Online Social Networks (OSNs) are a combination of all the network
types we have discussed above and other highly advanced online features with
advanced graphics. There are several of these social networks including Face-
book, Twitter, Myspace, Friendster, YouTube, Flickr, and LinkedIn. Since these
networks grew out of those we have seen before, many of the features of these
networks are like those we have discussed in the above networks. For example,
users in these networks can create profiles that include their graphics and other
enclosures and upload them to their network accounts. They must have a user-
name or screen name. Also communication, if desired, can occur in real time
as if one is using chat or IM capabilities. In additional to real time, these net-
works also give the user the delayed and archiving features so that the users
can store and search for information. Because of these additional archival and
search capabilities, network administrators have fought with the issues of pri-
vacy and security of users as we will see later in this chapter. As a way to keep
users data safe, profiles can be set to a private setting, thus limiting access to
private information by unauthorized users.
Types of OSN Services
OSNs have been growing in popularity, along with the growth of the
Internet, because of the growing popularity with the services these networks
are offering to the users. Some of the more durable and most popular of these
services are:
• Creating and accessing users profiles: A profile in general terms is an
outlined view of an object. A personal profile in particular is an infor-
mal biography or a sketch of the life and character of a person. Since
the beginning of the growth of social networks, profiles of users have
been central to social networks. Social networks have provided dif-
fering capabilities of presenting and accessing users profiles.
• Search in social graph: The search feature in social networks makes it
9—Security and Privacy in Online Social Networks 163

possible to tag user profiles and other user provided data so that search
engines can crawl through the social graph in the network to pick up
metadata and links to other profiles.
• Updates: The update feature helps users to constantly update their
profiles and add new information into the social graph. This helps
users to keep track of the status of other users.
The type of services a social network offers helps in creating user interest
groups called “tribes.” Major tribes are created in the following areas of inter-
ests:
• Social
• Business
• Religious
• Ethnicity
• Profession
There is no limit on the number of tribes a social network may have as
long as they are members to create it. And tribes are not restricted to special
social networks although some networks are more known by specific tribes
than others. Within each tribe, entities can share one or more relations. The
more relations two entities have and how frequent these ties are maintained,
the closer the pair becomes and the stronger the corroboration between them
and the more intimate information and resources they share. Strong collabo-
ration creates cohesive tribes. As interactions and collaborations between pairs
of entities and within tribes grow, a strong sense of belonging start to develop
among the pairs and within tribes. These feelings of belonging and of com-
munity among pairs and within tribes may lead to greater commitment of
individual entities to the others or the tribe which in turn may lead to change
in behavior as the individual gets closer to the others within the tribe.
The Growth of Online Social Networks
OSNs have blossomed as the Internet exploded. The history and the
growth of OSNs have mirrored and kept in tandem with the growth of the
Internet. At the infant age of the Internet, computer-mediated communication
services like Usenet, ARPANET, LISTSERV, bulletin board services (BBS)
helped to start the growth of the current OSNs as we know them today. Let
us now see how these contributed to the growth of OSNs.
BITNET was an early world leader in network communications for the

research and education communities, and helped lay the groundwork for the
subsequent introduction of the Internet, especially outside the United States.2
Both BITNET and Usenet, invented around the same time in 1981 by Ira
Fuchs and Greydon Freeman at the City University of New York (CUNY),
were both “store-and-forward” networks. BITNET was originally named for
the phrase “Because It’s There Net,” later updated to “Because It’s Time Net”3
on the IBM Virtual Machine (VM) mainframe operating system. But it was
later emulated on other popular operating systems like DEC VMS and Unix.
What made BITNET so popular was its support of a variety of mailing lists
supported by the LISTSERV software.
BITNET was updated in 1987 to BITNET II to provide a higher band-
width network similar to the NSFNET. However, by 1996, it was clear that
the Internet was providing a range of communication capabilities that fulfilled
BITNET’s roles, so CREN ended their support and the network slowly faded
away.4
A Bulletin Board System (BBS) is a software running on a computer
allowing users on computer terminals far away to login and access the system
services like uploading and downloading files and reading news and contribu-
tion of other members through emails or public bulletin boards. In “Electronic
Bulletin Boards, A Case Study: The Columbia University Center for Com-
puting Activities,” Janet F. Asteroff5
reports that the components of computer
conferencing that include private conferencing facilities, electronic mail, and
electronic bulletin boards started earlier than the electronic bulletin board
(BBS). Asteroff writes that the concept of an electronic bulletin board began
around 1976 through ARPANET at schools such as the University of Cali-
fornia at Berkeley, Carnegie Mellon University, and Stanford University. These
electronic bulletin boards were first used in the same manner as physical bul-
letin boards, i.e., help wanted, items for sale, public announcements, and more.
But electronic bulletin boards soon became a forum for user debates on many
subjects because of the ability of the computer to store and disseminate infor-
mation to many people in text form. In its early years, BBS connections were
via telephone lines and modems. The cost of using them was high, hence they
tended to be local. As the earlier form of the World Wide Web, BBS use
receded as the Web grew.
LISTSERV started in 1986 as an automatic mailing list server software
which broadcasts emails directed to it to all on the list. The first Listserv was
conceived of by Ira Fuchs from BITNET and Dan Oberst from EDUCOM
(later EDUCAUSE), and implemented by Ricky Hernandez also of
EDUCOM, in order to support research mailing lists on the BITNET aca-
demic research network.6
By the year 2000, LISTSERV ran on computers around the world man-

aging more than 50,000 lists, with more than 30 million subscribers, delivering
more than 20 million messages a day over the Internet.7
As time went on and technology improved, other online services came
along to supplement and always improve on the services of whatever was in
use. Most of the new services were commercially driven. Most of them were
moving towards and are currently on the web. These services including news,
shopping, travel reservations and others were the beginning of the web-based
services we are enjoying today. Since they were commercially driven, they were
mostly offered by ISPs like AOL, Netscape, Microsoft and the like. As the
Internet grew millions of people ﬂocked onto it and the web and services
started moving away from ISP to fully ﬂedged online social network companies
like Facebook, Flicker, Napster, LinkedIn, Twitter and others.
Security and Privacy
Privacy is a human value consisting of four rights. These rights are soli-
tude, the right to be alone without disturbances; anonymity, the right to have
no public personal identity; intimacy, the right not to be monitored; and
reserve, the right to control one’s personal information, including the dissem-
ination methods of that information. As humans, we assign a lot of value to
these four rights. In fact, these rights are part of our moral and ethical systems.
With the advent of the Internet, privacy has gained even more value as infor-
mation has gained value. The value of privacy comes from its guardianship of
the individual’s personal identity and autonomy.
Autonomy is important because humans need to feel that they are in con-
trol of their destiny. The less personal information people have about an indi-
vidual,themoreautonomousthatindividualcanbe,especiallyindecisionmaking.
However, other people will challenge one’s autonomy depending on the quan-
tity, quality, and value of information they have about that individual. People
usuallytendtoestablishrelationshipsandassociationswithindividualsandgroups
that will respect their personal autonomy, especially in decision making.
As information becomes more imperative and precious, it becomes more
important for individuals to guard their personal identity. Personal identity
is a valuable source. Unfortunately, with rapid advances in technology, espe-
cially computer technology, it has become increasingly difficult to protect per-
sonal identity.
Privacy Issues in OSNs
Privacy can be violated, anywhere including in online social network
communities, through intrusion, misuse of information, interception of infor-

mation, and information matching.8
In online communities, intrusion, as an
invasion of privacy, is a wrongful entry, a seizing, or acquiring of informa-
tion or data belonging to other members of the online social network commu-
nity. Misuse of information is all too easy. While online, we inevitably give off
our information to whomever asks for it in order to get services. There is noth-
ing wrong with collecting personal information when it is authorized and is
going to be used for a legitimate reason. Routinely information collected from
online community members, however, is not always used as intended.
It is quite often used for unauthorized purposes, hence an invasion of privacy.
As commercial activities increase online, there is likely to be stiff competi-
tion for personal information collected online for commercial purposes. Com-
panies offering services on the Internet may seek new customers by either legally
buying customer information or illegally obtaining it through eavesdropping,
intrusion, and surveillance. To counter this, companies running these online
communities must find ways to enhance the security of personal data online.
As the number and membership in online social networks skyrocketed,
the issues of privacy and security of users while online and the security of users’
data while off-line have taken center stage. The problems of online social net-
working have been exhibited by the already high and still growing numbers
especially of young people who pay little to no attention to privacy issues for
themselves or others. Every passing day, there is news about and growing con-
cerns over breaches in privacy caused by social networking services. Many users
are now worried that their personal data is being misused by the online service
providers. All these privacy issues can be captured as follows:
• Sharing of personal information with all OSN users:
° Users in the network give out too much personal information without
being aware who might wrongly use that information. Sexual predators
are known to use information from teens on these networks. Currently
many of the OSNs are working with law enforcement to try to prevent
such incidents.9
Information such as street address, phone number, and
instant messaging names are routinely disclosed to an unknown popula-
tion in cyberspace.
° Ease of access to OSNs. Currently it is very easy for anyone to set up an
account on anyone of these networks with no requirements to specific
identifications. This can lead to identity theft or impersonation.10
° Privacy threat resulting from placing too much personal information in
the hands of large corporations or governmental bodies, allowing a profile
to be produced on an individual’s behavior on which detrimental deci-
sions may be taken.1
1
° Updating profiles with current activities poses a great threat, for example,

updating your profile informing people of your whereabouts.
• Lack of precise rules by the OSNs on who should use which data.
• Leakage of private information to third-parties:
° On many of these networks, information altered or removed by a user
may in fact be retained and/or passed on to third parties.12
• Inter-linkages in OSNs. In their paper “(Under)mining Privacy in
Social Networks,” Monica Chew, Dirk Balfanz and Ben Laurie of
Google, Inc., point to three distinct areas where the highly-interlinked
world of social networking sites can compromise user privacy. They
are13
:
° Lack of control over activity streams: An activity stream, according to the
authors, is a collection of events associated with a single user including
changes a user makes to his or her profile page, the user adding or running
a particular application on the social networking site, news items shared,
or communication with friends. Activity streams may compromise a user’s
privacy in two ways:
• A user may not be aware of all the events that are fed into their activity
streams in which case the user lacks control over those streams.
• A user may not be aware of the audience who can see their activity
streams in which case the user lacks control over the audience who
could see the activity stream.
° Unwelcome linkage: Unwelcome linkage occurs when links on the
Internet reveal information about an individual that they had not
intended to reveal. Unwelcome linkage may occur wherever graphs
of hyperlinks on the World Wide Web are automatically created to
mirror connections between people in the real world. Maintaining
separation of individual activities and different personae is important
in OSNs.
° Deanonymization of users through merging of social graphs: OSN sites
tend to extract a lot of personally identifiable information from people
such as birth date and address. With this information, it is possible to
de-anonymize users by comparing such information across social net-
working sites, even if the information is partially obfuscated in each OSN.
As the growth in Online Social Networks continues unabated, there is a
new comer in the mix that is making the already existing problems more com-
plex. The newcomer is mobile devices with cell phones which are explodng
in popularity. These new devices are not only small and very portable but they
are also increasingly becoming smarter with additional services like voice com-
munication, playing music and videos, accessing the Internet over WiFi and
have their own additional communication networks.14
Not surprising, an

increasing number of accesses to OSNs are now via mobile devices. In addition
to the privacy issues mentioned above in traditional OSNs,15
new issues arising
because of these new technologies include:
• The presence of a user. Unlike in the most traditional OSNs where users
were not automatically made aware of the presence of their friends, most
mobile OSN (mOSN) now allow users to indicate their presence via a
“check-in” mechanism, where a user establishes their location at a particular
time. According to Krishnamurthy and Wills,16
the indication of presence
allows their friends to expect quick response and this may lead to meeting
new people who are members of the same mOSN. Although the feature of
automatic locate by oneself is becoming popular, it allows leakage of per-
sonal private information along two tracks: the personal information that
may be sent and the destination to which it could be sent.
• Geographical location. This is a feature that is widespread in the mobile
environment. However, users must be aware that allowing their location
to be known by friends, their friends who are currently online on this
mOSN, their friends in other mOSNs and others may lead to leakage of
personal information to third-parties.
• Interaction potential between mOSNs and traditional OSNs. According
to Krishnamurthy and Wills,17
such connections are useful to users who,
while interacting with a mOSN can expect some of their actions to show
up on traditional OSNs and be visible to their friends there. However, a
lot of their personal information can leak to unintended users of both
the traditional OSNs and the mOSNs.
Strengthening Privacy in OSNs
As more and more people join OSNs and now the rapidly growing
mOSNs, there is a growing need for more protection to users. Chew et al. sug-
gest the following steps needed to be taken18
:
• Both OSN and mOSN applications should be explicit about which
user activities automatically generate events for their activity
streams.
• Users should have control over which events make it into their activity
streams and be able to remove events from the streams after they have
been added by an application.
• Users should know who the audience of their activity streams is and
should also have control over selecting the audience of their activity
streams.

• Both OSN and mOSN applications should create activity stream
events which are in sync with user expectation.
Other suggestions that may help in this effort are:
• Use of secure passwords.
• User awareness of the privacy policies and terms of use for their OSNs
and mOSNs.
• Both OSNs and mOSNs providers should devise policies and enforce
existing laws to allow some privacy protection for users while on their
networks.

Chapter 10
Security in Mobile Systems
• Understand the architecture of mobile networks.
• Learn about the operating systems upon which mobile systems run.
• Understand security issues in mobile systems.
• Understand privacy issues in mobile systems.
• Learn the ethical framework most suited for mobile systems.
Introduction
A mobile communication systems consists of two or more of the follow-
ing devices, running speciﬁcally developed software to sustain, for a time, a
wireless communication link between them: mobile telephone, broadly con-
strued here to include devices based on Code Division Multiple Access
(CDMA), Time Division Multiple Access (TDMA), Global System for
Mobile Communications (GSM), and Wireless Personal Digital Assistants
(WPDA) digital technologies and follow-ons, as well as satellite telephones
and email appliances. Mobile communication systems are revolutionising the
world, shrinking the world to between two or more small handheld mobile
devices. The rapid changes in communication technologies, revolutionary
changes in software and the growth of large powerful communication network
technologies all have eased communication and brought it to large swaths of
the globe. The high end competition between the mobile telecommunication
operators is resulting in plummeting device prices and quickly developing
smart phone technology, and a growing number of undersea cables and cheaper
satellites technologies are bringing Internet access to almost every one of the
global rural poor faster than many had anticipated.
171

Current Major Mobile Operating Systems
To fully understand the working of mobile systems, one has to start with
understanding the role operating systems play in the infrastructure and the
ecosystem of mobile systems. The mobile operating system, commonly called
the mobile OS, or just mOS, is an operating system that is specifically designed
to run on mobile devices such as mobile phones, smartphones, PDAs, tablet
computers and other handheld devices. The mobile operating system is the
software platform on top of which an ecosystem of other programs, called
application programs, can run on mobile devices. The mOS performs the same
functionalities as its bigger brother that runs laptops and PCs. The differences,
however, are in the size of memory an ordinary and modern operating system
will need to perform those functions. In the case of mOS, we are talking small
sizes for everything. In additional to running in limited everything, modern
mOSs must combine the required features of a personal computer with touch-
screen, cellular, Bluetooth, WiFi, GPS navigation, camera, video camera,
speech recognition, voice recorder, music player, near field communication,
personal digital assistant (PDA), and many others still in development.
Mobile operating systems are as crucial and central to the running and
security of the mobile device as they are in the bigger, less mobile devices
like PCs and laptops. When it comes to security related issues, the mobile
device is as secure as its operating system. So every mobile device integrates
in its operating systems as much security as it can possibly carry without sac-
rificing speed, ease of use and functionalities expected by consumers. Most
mobile operating systems are similar in a number of ways to their older broth-
ers, the operating systems in the PCs and laptops, which have seen and con-
tinue to see growing security problems like backdoors, spyware, worms,
Trojans, and others. The best way to protect these devices with mOS is not to
wait and respond to attacks, as we did with laptops and PC, but rather to
anticipate what kind of attacks can occur and plan for them. Quick pre-
emptive measures like these probably could help safeguard the mobile device
a lot faster.
At the writing of this chapter, the most popular mOSs are: Android,
Symbian, iOS, BlackBerry OS, Bada and Windows Phone. Of course they are
many others. Let us very briefly look at a few of these in a limited details.1
Android
Android is a Linux-derived OS backed by Google, originally developed
by a small start-up company, along with major hardware and software devel-
opers (such as Intel, HTC, ARM, Samsung, Motorola and eBay, to name a

few), that form the Open Handset Alliance. Android’s major features, at the
time of this writing, include:
—Multitasking
—“Zoom-to-fill” screen compatibility mode
—Support of connectivity technologies: GSM/EDGE, IDEN, CDMA,
EV-DO, UMTS, Bluetooth, Wi-Fi, LTE, NFC and WiMAX
—Threaded SMS view
—Multi-Touch input support
—Notification bar
—Customizable home screen and keyboard.
iOS
iOS is Apple’s mobile operating system, originally developed for the
iPhone, it has since been extended to support other Apple devices such as the
iPod touch, iPad and Apple TV. iOS is not licensed for installation on third-
party hardware. Interaction with the OS includes gestures such as swipe, tap,
pinch, and reverse pinch, all of which have specific definitions within the con-
text of the iOS operating system and its multi-touch interface. iOS’s major
features, at the time of this writing, include:
—Multitasking
—A dock at the bottom of the screen where users can pin their most fre-
quently used apps
—Notification Center (similar to notification bar)
—iMessage (allow iPod touch, iPhone, and iPad users to communicate,
much like a chat service only used between these devices)
—Newsstand
—Location based reminders (get an alert as soon as you enter a particular
location/area)
—WI-Fi Sync
—Improved multi-touch input gestures
Windows Phone 7.5 (“Mango”)
Windows Phone 7.5 is a major software update for Windows Phone, the
mobile operating system, by Microsoft. Windows Phone OS’s major features,
at the time of this writing, include:
—Multitasking
—Dynamic Live tile information
10—Security in Mobile Systems 173

—Facebook Places check-in support
—Windows Live Messenger and Facebook Chat integration
—All in one thread view: SMS, MMS, IMs, Facebook Chat together in
one conversation
—Threaded email conversations support
—Built-in voice-to-text/text-to-voice functionality
—Twitter and Facebook integration
—Geolocation support
—Internet Explorer 9
Bada (Samsang)
“Bada” is a Korean word meaning “ocean” and “seashore.” The Bada oper-
ating system was first introduced at Mobile World Congress 2010 in Barcelona
in February 2010, running the Samsung S8500 Wave. Bada’s major features, at
the time of this writing, include:
—Multitasking
—Notification bar
—Multiple homescreens with widgets support
—Improved user Interface
BlackBerry OS/RIM
BlackBerry OS is a proprietary mobile operating system, developed by
Research in Motion for its BlackBerry line of smartphone handheld devices.
The operating system provides multitasking and supports specialized input
devices that have been adopted by RIM for use in its handhelds, particularly
the trackwheel, trackball, trackpad and touchscreen. The BlackBerry platform
is perhaps best known for its native support for corporate email, through
MIDP 1.0 and, more recently, a subset of MIDP 2.0, which allows complete
wireless activation and synchronization with Microsoft Exchange, Lotus
Domino, or Novell GroupWise email, calendar, tasks, notes, and contacts,
when used with BlackBerry Enterprise Server. The BlackBerry OS’s major fea-
tures, at the time of this writing, include:
—Multitasking
—NFC (near field communication)
—Ajax and HTML5 support

—Notiﬁcations preview on homescreen
—Multi-touch support (for touch screen)
—Geotagging
—Liquid Graphics technology, which in OS 7 delivers high resolution
displays, slicker graphics and a more responsive touchscreen, as com-
pared to OS 6
—Integrated BlackBerry Messenger 6 and Facebook Application
—40 percent faster web browsing experience in OS 7 as compared to OS
6, and 100 percent when compared to OS 5
Symbian
Symbian mOS is used on more phones and smartphones globally than
any other mobile OS. Symbian’s strengths include its longevity, widespread
use, and maturity as an operating system. With its most recent release, Symbian
9, increased emphasis has been placed on improved e-mail functionality,
enhanced capabilities to assist third-party developers, and additional security
functions.
Security in the Mobile Ecosystems
As mobile devices become more and more ubiquitous, the risk for using
them is increasing. They are increasingly holding and storing more private
data, personal and business, and they are roaming in public spaces on public
networks with limited security and cryptographic protocols to protect the
data. In fact the kind of security threats towards these devices is similar and
probably more than that experienced by PCs and laptops in their heydays.
The security threats to these mobile devices are comparable if not more than
those facing servers in that these devices can remain on without user attention
and are always connected to a network. Also, because these devices have the
ability to roam on several networks, there is a wider sphere of attack beset by
geographical, legal and moral differences. Because of the high demand for
global connectivity, especially in developing countries, service providers are
responding with zeal to consolidate networks and standardize communication
protocols, thus making it easier for these devices to roam in large spaces and
networks, creating fertile ground for attackers. The penetration trend of these
smart mobile devices is not limited to faraway rural places, but more scary is
their rapid penetration on enterprise IT spaces where security is paramount
for any device. This extension of smart devices into the enterprise IT spaces
is a result of their popularity as they slowly eat away the enterprise laptop as

the enterprise mobile device. This in turn is increasingly causing enterprise
management to start focusing on their security issues. Although anti-virus
client applications have been available and security best practices have been
in place for most high level operating systems, this is not the case with small
mobile devices. In his article, “New Security Flaws Detected in Mobile
Devices,” Byron Acohido reports of two recent examinations by Cryptography
Research. In one study, Cryptography Research showed how it’s possible to
eavesdrop on any smartphone or tablet as it is being used to make a purchase,
conduct online banking or access a company’s virtual private network. Also,
McAfee, an anti-virus software company and a division of Intel, showed
ways to remotely hack into Apple iOS and steal secret keys and passwords and
pilfer sensitive data, including call histories, e-mail and text messages. What
is more worrying is the reported fact that the device under attack would not
in any way show that an attack is under way. Almost every mobile system user,
security experts and law enforcement officials are all anticipating that cyber-
gangs will accelerate attacks as consumers and companies begin to rely more
heavily on mobile devices for shopping, banking and working. So there is an
urgent need for a broader array of security awareness of the community and
actions by community to assist in providing all users the highest level of pro-
tection.
The smartphone security company Lookout Mobile Security, in its “2011
Mobile Threat Report,” discusses security threats to mobile devices in four
major areas: application, web-based access, network and physical environ-
ments. Major threats are encountered by mobile devices on a daily basis.
Application-Based Threats
For every mobile device, the biggest appealing feature is the ability to
run thousands of applications (apps) to accomplish a variety of tasks. These
applications are written by unknown people with limited to no allegiance to
anybody and taking no command from anyone. Do downloadable applications
present the greatest security issues for any mobile device that is capable of
downloading software? Application-based threats, in downloadable appli-
cations, present a great security risk through malware, software designed
with the intent to engage in malicious behavior on a device; spyware, a software
designed with the intent to collect or use data without a user’s knowledge or
approval; functionality features, the device’s normal functionality features
that reveal or threaten an individual’s privacy; and vulnerable applications,
software that may have vulnerabilities that can be exploited for malicious pur-
poses.

Web-based Threats
Mobile devices, once on, are continuously roaming in public spaces on
public networks with limited security and cryptographic protocols to protect
them. In many cases, they are often constantly connected to the Internet for
normal web-based services. Under such circumstances, they are exposed to a
variety of web-based threats including phishing scams, a way intruders, mas-
querading as a trustworthy friend in electronic communication like email and
text, use web-based services to launch attacks on those devices connected to
the web to acquire information such as usernames, passwords, and credit card
details and other private data of the device owner; drive-by downloads, pop-
ups written by scammers to automatically begin uploading treacherous appli-
cation as soon as the device visits a web page; and web exploits.
Network Threats
As stated above, once mobile devices are on, they immediately start look-
ing for networks to connect on either cellular networks or the internet. Once
connected, they are prone to network exploits.
Physical Threats
Physical threats, unlike threats based on the nature and the functionality
of the mobile device, are based on the size and the surroundings of the owner
of the mobile device. Such threats include lost or stolen devices—due mainly
to the miniaturization of mobile devices.
Operating System Based Threats
A mobile device is as secure as its operating system. We need to note that
most operating system threats are speciﬁc to the brand. So let us focus on a
few known operating system-based threats:
• KDataAtruct—This is a Windows Mobile (WM) operating system
problem based on the vulnerability that in WM Microsoft placed all
main system functions are in one coredll.dll ﬁle so that developers do
not have to include the code for functions in their own programs.
They just call the coredll addresses of all the APIs it uses into memory
space it is allocated. In so doing an address to the list of modules is
provided so that the address of the coredll can be determined. From
here one can search through memory looking for the virtual address

of the API wanted. This can open up the device for exploitation. This
vulnerability is exploited by the virus WinCE.Duts.A.
• Pocket IE—another Windows vulnerability found in the small Inter-
net Explorer—commonly known as Pocket IE (PIE), default Web
Browser for the WM OSs. The PIE has all the vulnerabilities found
in the standard IE for the big brothers PC and laptops. See all these
vulnerabilities in the “General Mobile Devices Attack Types” below.
• Jailbreaking—is a process by which a user can alter the phone’s oper-
ating system to gain full access (or root access) to the operating system
and allow applications not officially vetted by Apple’s review policies.
For example JailbreakMe 3.0 for iOS devices is a non-malicious web
page that exploits two vulnerabilities to jailbreak a device.2
• DroidDream—is an Android malware that utilizes two exploits,
Exploid and RageAgainstTheCage to break out of the Android secu-
rity sandbox, gain root control of the operating system, and install
applications without user intervention.3
• Update Attacks—there a growing problem of using application
updates as an attack method in the Android Market. A malware writer
first releases a legitimate application containing no malware. Once
they have a large enough user base, the malware writer updates the
application with a malicious version.
• Malvertising—is malicious advertising where an attacker lures victims
into downloading malware, especially on the Android Market. They rely
on the fact that developers commonly use in-app advertisements to gain
more users, so people are used to downloading apps via advertisements.
• Other threats include flowed shell model (iOS), root account (iOS),
static addressing (iOS), static systems (iOS) and reuse of code (iOS).
General Mobile Devices Attack Types
Besides specific operating systems’ attack discussed above, there also
major general mobile system attacks launched against specific mobile devices
or operating systems or applications. Some of these, mostly carry-overs from
the laptop and PC era, include the following:
Denial-of-service (DDoS)
This technique is meant to cause system disruption so that the device,
the service or the network on which the device operates cannot complete the
operation under way involving the device.

Phone Hacking
This is a technique used to intercept phone calls or voicemail messages,
either by accessing the voicemail or text messages of a mobile phone without
the knowledge or consent of the phone’s owner. You may recall the News of
The World phone hacking events in the United Kingdom.
Mobile Malware/Virus
A mobile malware or virus is software that deliberately targets mobile
phones or wireless-enabled PDAs.
Spyware
Spyware is a type of malware that automatically installs itself or in some
cases is installed manually on computers so that it continuously or periodically
collects information about a range or one event, user, or application without
the owner’s knowledge.
Exploit
An exploit is software code that takes advantage of a bug, glitch or vul-
nerability to cause unintended or unanticipated consequences to occur on
computer software, hardware, or something electronic.
Everything Blue
The following are some of the malware and spyware that take advantage
of Bluetooth technology. They include the following4
:
• Bluejacking—this is similar to spamming but here, the criminal sends
unsolicited messages to the victim’s device, which opens up commu-
nication between the paired devices. This can lead to the attacker
gaining access to the victim’s device.
• Bluesnarﬁng—a form of Bluetooth hacking which can allow a hacker
to gain access to the victim’s device’s contact list, text messages, emails
and other vital information. The hacker can even use brute force
attack, even if the device is invisible, to guess the victim’s MAC
address.
• Bluebugging—is the type of attack, like a Trojan Horse, where the
hacker uses sophisticated attack techniques to gain control of the vic-

tim’s mobile device. Once in control, the attacker can do anything
with the mobile device.
• Bluetoothing—this is social engineering, where a hacker can use tra-
ditional social engineering tricks to masquerade as the legitimate user
of the mobile device.
• BlueBumping—is an attack involving two mobile devices. The attack-
ing device gets the victim to accept a connection for a trivial data
exchange such as a picture, then uses that pairing to attack other serv-
ices. While the connection is still open, the attacker requests for a link
key regeneration which it uses later for access to the victim’s device,
thus getting full access to any of the services on the victim’s device.
• BlueChopping—is an attack that targets Bluetooth piconet (an ad-
hoc Bluetooth network linking other Bluetooth devices. It allows one
master device to interconnect with many other active slave devices)
for disruption by spooﬁng one of the participating piconet slaves, lead-
ing to confusion of the master’s internal state and thus disrupting the
piconet.
• BlueDumping—is the act of sniffing a Bluetooth device’s key-exchange
by forcing the Bluetooth victim’s mobile device to dump its stored
link key. Before the sniff, the attacker needs to know the BDADDR
of a set of paired devices. To get this, the attacker spoofs the address
of one of the devices and connects to the other. Since the attacker has
no link key, when the target device requests authentication, the
attacker’s device will respond with an “HCI_Link_Key_Request_
Negative_Reply,” which will, in some cases, cause the target device to
delete its own link key and go into pairing mode.5
• BlueSmucking—is a Bluetooth Denial of Service attack that knocks
out some Bluetooth-enabled devices immediately. It is carried out
using the old “Ping of Death” but transformed to work in Bluetooth.
On the L2CAP (echo request) layer there is the possibility to request
an echo from another Bluetooth peer, to check connectivity and to
measure round-trip time on the established link. This is possible in
Bluetooth because, the l2ping in BlueZ utils allows the user to specify
a packet length that is sent to the respective peer. This is done by
means of the -s <num> option.6
• BlueSniffing—is a Bluetooth version of war driving.
Phishing
Phishing in Bluetooth devices takes the same attempting techniques used
in PCs and laptops in that it is intended to acquire information such as user-

names, passwords, credit card details and other private data of the device owner
by the intruder masquerading as a trustworthy friend in an electronic com-
munication like email and text.
SMiShing
SMiShing is social engineering crime like phishing in that it uses the
mobile devices and texts as baits to pull in the mobile device owner to divulge
private and sometimes personal information.
Vishing
Vishing is another criminal practice in the social engineering class just
like the last two. It mostly uses the mobile device phone features facilitated
by Voice over IP (VoIP) to gain access to private personal and ﬁnancial infor-
mation from the public for the purpose of ﬁnancial reward. The term is a com-
bination of “voice” and phishing.
Mitigating Mobile Devices Attacks
With the growing use of mobile devices and the growing trend of employ-
ers allowing employees to bring their own devices (BYOD) to work, there is
a growing threat and increasingly uneasiness of unmanaged, personal devices
accessing sensitive enterprise resources and then connecting these devices to
third-party services outside of the enterprise security controls. This potentially
exposes the enterprise sensitive data to possible attackers. The security teams
in these enterprises are beginning to feel exposed to mobile device security
risk, and Small and Medium Businesses (SMBs) do not feel they have adequate
tools to assess and mitigate these risks.
There are several security protocols and best practices, however, that can
come in handy for situations like this. There are three security components
that must form the minimum security requirements for any mobile security
management. These components are hardware encryption, remote wiping and
the ability to set a passcode policy7
:
Mobile Device Encryption
The two ways mobile device encryption can be done are through appli-
cation and hardware encryption.

Application Encryption
In securing mobile devices using applications, encryption protects the
mobile device from attacks made on the host device, as well as across network
connections end-to-end. There are many vendor solutions for this kind of
encryption.
Hardware Encryption
Hardware encryption is an encryption protocol embedded into the hard-
ware by either the original mobile hardware manufacturer like Research in
Motion (RIM), the manufacturer of BlackBerry. On the BlackBerry, RIM
combines strong Advanced Encryption Standard (AES) and Triple Data
Encryption Standard (Triple DES) encryption with a strong mobile device man-
agement platform to provide a strong security stance for enterprise BlackBer-
rys. Similarly, other mobile device manufacturers like Apple, Google, Microsoft
and others have corresponding embedded encryptions either in their device
operating systems, embedded SIM cards or movable encryption SIM cards.
Mobile Remote Wiping
Mobile remote wiping offers the security IT managers the basic mobile
device management capabilities to remotely wipe data from lost mobile device.
The remote wipe and other management features are mobile device manufac-
turer and third-party developed. Many are cross-platform like the Google’s
Apps Premier and Education Edition which works for iPhones, Nokia E series
devices, and Windows Mobile smartphones.
Mobile Passcode Policy
A security policy requiring a passcode tag for devices is the best deal to
deal with the growing plethora of devices running different operating systems
or different versions of an operating system. A complete mobile security solu-
tion should include8
:
• A ﬁrewall to secure the device from attacks and malicious code.
• A VPN to allow ﬂexible means to ensure secure communications for
any wireless data traffic.
• An authentication mechanism to ensure that unauthorized persons
are not accessing the device if it is lost or stolen.
• Data encryption on the device to ensure that information is not stolen,
either physically or electronically.
• Anti-virus software to protect the device from viruses and malware.

Chapter 11
Security in the Cloud
• Understand the cloud computing infrastructure
• Learn about cloud computing models
• Learn about software models
• Understand security issues in the cloud
• Understand privacy issues in the cloud
• Learn the ethical framework most suited for the cloud
Introduction
According to the National Institute of Standards and Technology (2011),1
cloud computing is a model for enabling ubiquitous, convenient, on-demand
network access to a shared pool of configurable computing resources like net-
works, servers, storage, applications and services that can be rapidly provi-
sioned and released with minimal management effort or service provider
interaction. So for this chapter, we are going to focus on this model of com-
puting and discuss its benefits and security concerns. This computing model
is composed of a number of essential characteristics, three service models, and
four deployment models.
Cloud Computing Infrastructure
Characteristics
Historically, data center computing models have been based on a client-
server model architecture and design, relying firmly on a three-tier architecture
design that included access, distribution and core switches, connecting rela-
183

tively few clients and meeting limited client needs compared to today’s cloud
services models. In most cases, each server was dedicated to either a single or
limited applications and had IP addresses and media access control addresses.
This static nature of the application environment worked well and lent itself
to manual processes for server deployment or redeployment. According to Jim
Metzler and Steve Taylor of Network World (2011), they primarily used a
spanning tree protocol to avoid loops. But dramatic advances in the previous
years in virtualization technology, distributed computing, rapid improvements
and access to high-speed Internet have all dramatically changed the staid nature
of the data center. Today’s data center, providing cloud services, is anything
but staid, as it is bursting with activities and services with distinctly new char-
acteristics that differentiate it from its traditional cousin. For example, its serv-
ices are now on demand, by the minute or the hour; it is elastic, that is, users
can have as much or as little of a service as they want at any given time; and
the service is fully managed by the provider, that is, the consumer needs noth-
ing but a personal computer and Internet access. These characteristics are dis-
cussed below.
Ubiquitous Network Access
The advances and use of virtualization technology and the availability
and access to high speed internet have all helped to change the nature of access
to the computing services sought by customers and have also increased in the
number of services a customer can select. With more choice also came the
high specialization and quality of services that a customer can expert.
Measured Service
Because cloud services are ﬂexible, on demand and elastic, it is important,
therefore, for these services to be metered. The concept of metered services
allows customers to get what they want in the required amounts at the time
they want the service. As part of the metering services, cloud systems auto-
matically control and optimize resource use based on the type of service such
as storage, processing, bandwidth and active user accounts and can report
these statistics as needed, thus providing transparency for both the provider
and consumer.
On-Demand Self-Service
With the rapid and unprecedented use of virtualization technology and
the availability and access to high speed internet, the traditional and all other

models of acquisition of computing services that demanded perpetual own-
ership of software or computing hardware and long contracts with employees
that helped to use the service, the need for redundancy and outsourcing of
services, all diminished and turned into a more flexible model. Consumers of
computing services were no longer restricted to having one of the rigid tradi-
tional models of either ownership, outsources or boxed services. Now, a con-
sumer is able to not only automatically provision any computing services and
capabilities as needed but also can determine the time and how long to use
the provisioned services.
Rapid Elasticity
Computing service elasticity means the ability to resize and dynamically
scale the virtualized resources at hand such as servers, processors, operating
systems and others to meet the customer’s on-demand needs. The provider
makes sure that there are resources at hand that meet the elastic capabilities
to ensure that end-users’ requests are continually and promptly met. Amazon’s
EC2 and IBM ASC are good examples of web service interfaces that allow the
customer to obtain and configure capacity with minimal effort.
Resource Pooling
Increased flexibility, access and ease of use usually lead to high and varied
demands of services from customers. To meet these new demands, providers
usually respond by offering a variety of system resources and services. As noted
by Peter Mell and Timothy Grance in the NIST report (2011), the provider’s
computing resources are pooled to serve multiple consumers using a multi-
tenant model, with different physical and virtual resources dynamically
assigned and reassigned according to consumer demand.
Others
There are other characteristics common to cloud computing beyond the
five discussed. Among these are:
• Massive scale—that the cloud offers the resources at a massive scale
on demand.
• Virtualization—in fact this is the linchpin of the cloud technology.
The cloud is possible because of virtualization of the fundamental
functionalities of the physical machine.
• Free software—or near free software as needed from the cloud.
11—Security in the Cloud 185

• Autonomic computing—in a sense that you scale computing resources
at a time you want them on the fly.
• Multi-tenancy—because of cloud’s massive scale and easy access of
those resources, cloud computing can accommodate a large number
of users at a time.
Cloud Computing Service Models
Infrastructure as a Service (IaaS)
The process of providing the customer with the ability and capability to
manage and control, via a web-based virtual server instance API, with system
resources such as starting, stopping, accessing and configuring the virtual
servers, operating systems, applications, storage, processing and other funda-
mental computing resources, is referred to as Infrastructure as a Service (IaaS).
In doing all these, however, the consumer does not have access nor control the
underlying physical cloud infrastructure.
Platform as a Service (PaaS)
This is a set of software and product development tools hosted on the
provider’s infrastructure and accessible to the customer via a web-based virtual
server instance API. Through this instance, the customer can create applica-
tions on the provider’s platform over the Internet. Accessing the platform via
the web-based virtual instance API protects the resources because the customer
cannot manage or control the underlying physical cloud infrastructure, includ-
ing network, servers, operating systems, or storage.
Software as a Service (SaaS)
Ever since the beginning of computing software, the cost of software has
driven software acquisition. Trying to control the cost of software has resulted
into software going through several models. The first model was the home
developed software where software users developed their own software based
on their needs. They owned everything and were responsible for updates and
management of it. The second model, the traditional software model, was
based on packaged software where the customer acquired a more general pur-
pose software from the provider with a license held by the provider. The
provider was responsible for the updates while the customer was responsible
for its management. However, sometimes, software producers provide addi-
tional support services, the so-called premium support, usually for additional

fees. Model three was the Open Source model led by a free software movement
starting around the late ’80s. By the late 1980s, free software turned into open
source with the creation of the Open Source Initiative (OSI). Under the name
“open source” philosophy, some for-profit “free software” started to change
the model from a purely free software to some form of payment to support
the updates of the software. The open source software model transformed the
cost of software remarkably. Model Four consisted of Software Outsourcing.
The outsourcing model was in response to the escalating cost of software
associated with software management. The component of software manage-
ment in the overall cost of software was slowly surpassing all the costs of other
components of software including licensing and updates. In Model Four, how-
ever, software is still licensed from the software company on a perpetual basis;
support fees are still paid, but the software producer takes on the responsibility
of the management of that software.
Software as a Service (SaaS) became model five. Under SaaS, there is the
elimination of the upfront license fee. All software applications are retained
by the provider and the customer has access to all applications of choice from
the provider via various client devices through either a thin client interface,
such as a web browser, a web portal or a virtual server instance API. Also here,
like in the previous cloud services, the customer does not manage or control
the underlying cloud infrastructure including network, servers, operating sys-
tems, storage, or even individual application capabilities, with the possible
exception of limited user-specific application configuration settings.
Three Features of SaaS Applications
In particular, software as a service has the following features:
• Scalability—in that it can handle growing amounts of work in a grace-
ful manner.
• Multi-tenancy—in that one application instance may be serving hun-
dreds of companies. This is different from the client-server model
from which the cloud computing model grew, and each customer is
provisioned their own server running one instance.
• Metadata driven configurability—customers can configure their appli-
cation through metadata
Cloud Computing Deployment Models
There are three cloud deployment models which are actually cloud types.
These are the public, private and the hybrid models.

Public Clouds
Public clouds provide access to computing resources for the general public
over the Internet, allowing customers to self-provision resources typically via
a web service interface on a pay-as-you-go basis. One of the beneﬁts of public
clouds is to offer large pools of scalable resources on a temporary basis without
the need for capital investment in infrastructure by the user.
Private Cloud
Unlike public clouds, private clouds give users immediate access to com-
puting resources hosted within an organization’s infrastructure and premises.
Users, who are usually in some form of a relationship with the cloud owner,
choose and scale collections of resources drawn from the private cloud, typi-
cally via web service interface, just as with a public cloud. Also the private
cloud is deployed within and uses the organization’s existing resources and is
always behind the organization’s ﬁrewall subject to the organization’s physical,
electronic, and procedural security measures. In this case, therefore, private
clouds offer a higher degree of security.
Hybrid Cloud
A hybrid cloud combines the computing resources of both the public
and private clouds.
Virtualization and Cloud Computing
In computing, virtualization is a process of creating computing resources
in effect and performance but not in reality, hence virtual. In computing, vir-
tual resources can be either software or hardware. Software virtualization has
historically been used in operating systems where the underlying operating
systems creates a number of virtual operating systems, not only clones of itself
but even others, to run on the underlying machine and perform tasks at a
higher performance level. In hardware, virtualization has been used to create
new resources like servers, storage devices and others. The potential power of
virtualization is substantially increasing the performance of computing systems
such as hardware and software through division of the underlying physical
computing resources into many equally powerful virtual machines, thus scaling
up the performance and creating elasticity of many computing systems. With
virtualization, computation and storage can be scaled up or down with ease.

Virtualization is a fundamental feature in cloud computing as it allows appli-
cations from different customers to run on different virtual machines; hence,
providing separation and protection.
Benefits of Cloud Computing
Cloud computing as a model of computing is very exciting and has
tremendous benefits for the computing community. It is not only exciting
when you come to learn it, but it also has an array of benefits including but
not limited to leveraging on a massive scale, homogeneity, virtualization, low
cost software, service orientation, and advanced security technologies.
Reduced Cost
The leading benefit of cloud computing for an enterprise is in cost savings.
Whether it is a small, medium or large scale manufacturing business, there are
essential cost benefits in using a cloud model for most of the company’s com-
puting needs. The biggest issue is the fact that cloud computing is operated
remotely off company premises except for a few devices needed for access-
ing the cloud resources via a web portal. This means that company personnel
can do the same amount of work on fewer computers by having higher uti-
lization, save on not housing data centers on premises, save on personnel for
running the data center, and save on expenses that would normally be essential
for running a data center on the premises. There are also savings on power
consumption since there are few computers on premises. Currently, servers
are used at only 15 percdent of their capacity in many companies, and 80 per-
cent of enterprise software expenditure is on installation and maintenance of
software. Use of cloud applications can reduce these costs from 50 percent to
90 percent.2
Automatic Updates
Because most businesses and personal transactions depend on software,
there is a need to keep updating software for efficiency and profitability and as
a changing business functionality. The cost of software updates and manage-
ment has always been on the rise, usually surpassing the cost of new software.
For companies to stay competitive and in many cases afloat, they must be con-
sistently updating and changing software. The business of software updates
and software management and licensing is a big drain on company resources.
So having automatic updates and management from the cloud provider can

be a great relief to any company. But updates are not limited to only software.
Also not worrying about hardware updates is cost-effective for companies.
Green Benefits of Cloud Computing
Cloud computing energy consumption has seen a vigorous debate, pitting
those claiming that cloud computing is gobbling up resources as large cloud
and social networking sites need daily megawatts of power to feed insatiable
computing needs versus those who claim that the computing model is indeed
saving power from millions of servers left idling daily and consuming more
power. We will discuss this more in the coming sections. For now, we think
that there are indeed savings in power consumption by cloud computing.
Remote Access
With a web portal access to the cloud, company employees may be able
to work while they are on the road, home or in the office. This is of great
benefit to the company so that there is no down time because somebody is not
in the office.
Disaster Relief
Many companies live in constant fear of disasters occurring when they
have company vital data stored on premises. No one likes to be a victim of
large-scale catastrophes such as hurricanes, earthquakes, fires or terrorist
attacks. Such misfortunes can create havoc to companies’ vital data and disrupt
operations even if there were limited physical damage. Additionally, there are
smaller disasters like computer crashes and power outages that can also wreak
havoc on a company’s vital data. While this is possible, there many companies,
especially small ones, that may not even have a disaster recovery plan, and
some that have a plan may not be able to execute it effectively. This fear can
be overcome with investments in cloud technology. A company’s vital backup
data can be safely stored on secure data centers on the cloud instead of in the
company’s server room.
Self-Service Provisioning
Cloud computing allows users to deploy their own virtual sets of com-
puting resources like servers, network, and storage as needed without the
delays, competency and complications typically involved in physical resource
acquisition, installation and management. The cloud owners, irrespective of

their physical location, not only can provide all the computing resources an
organization needs but also have the necessary capacity to monitor, manage
and respond to the organization’s daily and hourly infrastructure, software
and platform requirements.
Scalability
Because of the minute-by-minute monitoring capability of cloud com-
puting of an organization’s computing needs and the ability to increase or
reduce the required resources as the demand increases or decreases, cloud com-
puting offer the best infrastructure, platform and software scalability that can-
not be matched in any owned computing facility.
Reliability and Fault-Tolerance
Because the cloud provider, with qualified professionals and experience,
monitors the computing requirements of a client company and can easily scale
to demand, cloud computing offers a high degree of reliability and fault-
tolerance.
Ease of Use
To attract more customers, cloud providers have and must make the use
interface easy so that customers can scale into the cloud with the least effort.
Skills and Proficiency
Some of the most sought-after assets from a cloud provider are profes-
sionalism and a vast skills set for customers. Companies, especially small ones,
would pay a high price to get an employee with the skills, efficiency, proficiency
and experience found with cloud center staff.
Response Time
Depending on the bandwidth at the company web portal, cloud com-
puting services normally have speed because the computing resources provided
are modern and powerful to be able to accommodate a large number of users.
Mobility
Because of web portal interface to the Cloud, cloud computing essentially
is a mobile computing platform, allowing the users to access their applications
from anywhere.

Increased Storage
Storage is cloud computing’s main function. Because of this, it is cheap
and readily scalable to need.
Other Benefits
Other benefits include providing a high quality of service (QoS), provid-
ing a high quality, well-defined and stable industry standard API and on-demand
availability of computing resources based on “at hand” financial contraints.
Security
We are going to discuss this more in the coming section, but cloud com-
puting, because of its individual virtual machines created per use, has a built-
in security provision. In addition to these built-in provisions due to virtual-
ization, the cloud model also offers a strong authentication regime at the
browser interface gateway, a security mechanism that is individually and
quickly set up and torn down as needed, and a strong validation and verifica-
tion scheme that is expensive to deploy at an individual client-server model.
Cloud Computing Security, Reliability,
Availability and Compliance Issues
The cloud computing model as we know it today did not start overnight.
The process has taken years, moving through seven software models beginning
with in-house software, licensed software normally referred as the traditional
model, open source, outsourcing, hybrid, software as a service and finally the
Internet model, the last two being part of the cloud computing model. When
one carefully examines the cloud servicing model, one does not fail to notice
the backward compatibilities or the carryovers of many of the attributes that
characterized software through all the models. While this brings the benefits
of each one of those software models, also many, if not all, of the software
complexity and security issues in those models were carried over into the cloud
computing model. Because of this, our first thought was to discuss the security
issues in the cloud computing model through the prism of these models. It is
tempting but we are going to follow a different path while keeping the reader
rooted into the different software models. Security is and continues to be a
top issue in the cloud computing model. The other three related issues are
performance, compliance and availability. We will discuss all four in this sec-
tion but since security is the number one issue, we will address it first.

We want to start the discussion of cloud computing security by para-
phrasing Greg Papadopoulos, CTO of Sun Microsystems, who said that cloud
users normally “trust” cloud service providers with their data like they trust
banks with their money. This means that they expect the three issues of secu-
rity, availability and performance to be of little concern to them as they are
with their banks. To give a fair discussion of the security of anything, one has
to focus on two items: the actors and their roles in the process you are inter-
ested in securing and the application or data in play. The application or data
is thought of in relation to the state it is in at any one time. For example, the
states for both data and application can be either in motion between the
remote hosts and the service provider’s hypervisors and servers, or in the static
state when it is stored at remote hosts, usually on the customer’s premises or
in the service provider’s servers. The kind of security needed in either one of
these two states is different.
Cloud Providers and Users:
Their Roles and Responsibilities
In the cloud computing model, the main players are the cloud providers,
customers who are data owners and who seek cloud services from the cloud
provider, and the user who may be the owner of the data stored in the cloud.
The first two players have delegated responsibilities to all who work on their
behalf. To fully understand these delegated responsibilities assigned to each
one of these, we need to look at first the marginal security concerns resulting
from the peripheral system access control that always results in the easiest
breach of security for any system, usually through compromising user accounts
via weak passwords. This problem is broad, affecting both local and outsourced
cloud solutions. Addressing this and all other administrative and security con-
cerns requires companies offering and using cloud solutions to design an access
control regime. This must cover and require every user, local or remote, to
abide by these access policies, including the peripheral ones like the generation
and storage of user passwords. Access control administration is so important
that cloud providers need to spend time and resources to design a strong access
control regime.
Security of Data and Applications
in the Cloud
To understand and appreciate the security of data and applications in the
cloud, we need to focus first on the security and the role of the hypervisor and
then the servers on which user services are based. A hypervisor, also called

virtual machine manager (VMM), is one of many hardware virtualization tech-
niques allowing multiple operating systems, termed guests, to run concurrently
on a host computer. The hypervisor is piggybacked on a kernel program, itself
running on the core physical machine running as the physical server. The
hypervisor presents to the guest operating systems a virtual operating platform
and manages the execution of the guest operating systems. Multiple instances
of a variety of operating systems may share the virtualized hardware resources.
Hypervisors are very commonly installed on server hardware, with the function
of running guest operating systems that themselves act as servers. The security
of the hypervisor therefore involves the security of the underlying kernel pro-
gram and the underlying physical machine, the physical server and the indi-
vidual virtual operating systems and their anchoring virtual machines.
Hacking the Hypervisor
In his blog “Yes, Hypervisors Are Vulnerable,” Neil MacDonald, vice pres-
ident of Gartner Research and a Gartner Fellow,3
observes the following about
a hypervisor and the vulnerabilities associated with it:
• The virtualization platform (hypervisor/VMM) is software written
by human beings and will contain vulnerabilities. Microsoft, VMware,
Citrix, and others, all of them will and have had vulnerabilities.
• Some of these vulnerabilities will result in a breakdown in isolation
that the virtualization platform was supposed to enforce.
• Bad guys will target this layer with attacks. The beneﬁts of a compro-
mise of this layer are simply too great.
• While there have been a few disclosed attacks, it is just a matter of
time before a widespread publicly disclosed enterprise breach is tied
back to a hypervisor vulnerability.
Published papers have so far shown that the security of hypervisors can
be undermined. As far back as 2006, Samuel T. King, Peter M. Chen, Yi-Min
Wang , Chad Verbowski, Helen J. Wang and Jacob R. Lorch demonstrate this
in their paper “SubVirt: Implementing Malware with Virtual Machines.” In
this type of malware, a virtual-machine based rootkit (VMBR) installed a
virtual-machine monitor underneath an existing operating system and hoists
the original operating system into a virtual machine. The malware program
then started to act as its own hypervisor under Windows. According to the
IBM X-Force 2010 Mid-Year Trend and Risk Report,4
which disclosed a ten-
year virtualization vulnerability trend from 1999 through 2009, there were
373 reported vulnerabilities affecting virtualization solutions during the period

with a steady growth trend starting around 2002 and peaking in 2008 to 100
and falling off by 12 percent in 2009.
Securing Load Balancers
For every hypervisor, there is a load balancer, used to route traffic to dif-
ferent virtual machines to help spread traffic evenly across available machines.
A load balancer in a hypervisor plays a vital role of ensuring a fair distribution
of available load to all virtual machines, especially during high traffic and
ensuring the full utilization of the cloud infrastructure. An elastic load balancer
plays a central in the cloud infrastructure along the following lines5
:
• It listens to all traffic destined for the internal network and distributes
incoming traffic across the cloud infrastructure.
• It automatically scales its request handling capacity in response to
incoming application traffic.
• It creates and manages security groups associated with each instance
and provides additional networking and security options if and when
needed.
• It can detect the health of the virtual machines and if it detects an
unhealthy load-balanced virtual machine, it stops routing traffic to it
and spreads the load across the remaining healthy virtual machines.
• It supports the ability to stick user sessions to specific virtual machines.
• It supports SSL termination at the Load Balancer, including offloading
SSL decryption from application virtual machines, centralized man-
agement of SSL certificates, and encryption to backend virtual
machines with optional public key authentication.
• It supports use of both the Internet Protocol version 4 and 6 (IPv4
and IPv6).
Due to the load balancer’s ability to listen and process all traffic that is
destined to the internal network of the cloud, it is a prime target for attackers.
If a load balancer was compromised, an attacker could listen to traffic and
could compromise secure traffic destined to outside the network. Additionally,
if the load balancer is compromised along with a virtual machine, traffic could
be directed to an unsecure internal server where further attacks are launched.6
Because the load balancer is a single point in the cloud infrastructure, it is
very vulnerable to denial of service attacks. Compromise can lead to cloud
activity disruption.
Then what is the best way to secure the load balancer from attacks? A
load balancer is normally secured through proper configuration and monitor-

ing of the balancer’s logs. This is achieved through restriction of access to
administration of the balancer itself by configuring the load balancer to only
accept administrative access over a specific administrative network. This
administrative network should be connected to the administrative only net-
work. Limiting access over the administrator network greatly limits the num-
ber of users with access to the load balancer.7
Virtual Operating Systems Security
Besides the hypervisor and load balancer, the virtualization system also
hosts virtual servers each running either a guest operating system or another
hypervisor. And on the peripheral of the virtual machine system are the con-
soles and hosts. Through each one of these resources, the virtual machine sys-
tem can fall victim to security vulnerabilities.
Security of Data in Transition:
Cloud Security Best Practices
With the vulnerabilities in the cloud discussed, there are several ways to
protect the user of the cloud. First for the cloud customer, the key areas of
concerns are unauthorized access to customer data and other resources stored
or implemented in the cloud, whether the cloud provider uses strong enough
encryption to safeguard customer data, secure access and use of cloud appli-
cations and secure cloud management. All these should be incorporated in
the Service Level Agreements (SLAs).
Service Level Agreements (SLAs)
A service-level agreement (SLA) is a service contract between the
provider of a service and the client defining the level of expected service in
terms of security, availability and performance. SLAs are a series of service
contracts between cloud providers and clients to define the level(s) of service
based on the types of services sought by the client because the effectiveness of
these contracts depends on how well maximized and tailored these services
are to the particular needs of each client.
Data Encryption
Encryption of the data is also important. The moment data leaves the
end-point web-cloud access point in the user’s location, it travels via a public
network and is stored in shared environment—the cloud. In public or in shared

environments, data can be intercepted and inﬁltrated by intruders from within
and outside the cloud and during transmission from man in the middle cryp-
toanalysts. To prevent these kinds of breaches, strong encryption and authen-
tication regimes are needed. Encryption to safeguard any kinds of data breaches
requires a strong access control and authentication to all web-based cloud
resource interface, encryption of all administrative access to the cloud hyper-
visor, and all access to applications and data.
Web Access Points Security
Most cloud access instances are web-based. Most security breaches to
stored data originated from Web applications. There is therefore a need for
strong security controls in the cloud APIs.
Compliance
Because most clouds are either public, community or hybrids, and clients
using these clouds usually are in businesses that deal with personal data, cloud
providers must observe a number of compliance regulations including FISMA,
HIPAA, SOX and SAS 70 II for clouds based in the United States, and the
Data Protection Directive for clouds based in the EU. In addition, providers
accepting payments using credit card must comply with PCI DSS.

Chapter 12
Security and Compliance
• Understand the concepts of compliance.
• Learn about the growth of compliance regulations.
• Understand the balance between security and compliance.
Introduction
The near ubiquitous computing environment we are in, resulting from
the tremendous developments in communication technologies, the conver-
gence of computing and telecommunication technologies and the miniatur-
ization of communication devices, has almost transformed personal privacy
as we used to know it beyond recognition and made the accepted, time tested,
classical security protocols and techniques questionable. These new anywhere,
anytime technologies with unprecedented high bandwidth and high speed are
making the movement, sharing and access of huge amounts of information
possible and consequently enabling and increasing the possibility of unautho-
rized access and misuse of personal information.
We are in uncharted territory when it comes to availability and access to
personal information. Before the advent of the current technologies, there was
an accepted tenant of self-regulation as one of the pillars of good security prac-
tices. Self-regulation came about as a result of the outcry of the 1980s. The
early 1980s saw a rapid rise in the “new” types of crimes increasingly committed
by hackers using the brand-new computer communication technology, the
Internet. In response to the public outcry, governments went on a binge of
passing laws to regulate the new Internet. Privacy advocates were not amused
with the growing popularity with Internet regulations. Thus, the birth of the
self-regulation.
198

However, with ever-advancing computer and communication technolo-
gies, self-regulation could no longer contain the wave after wave of computer-
related crimes. Along with the rising computer crime rates, there was a corre-
sponding widespread use of computers, which led to computer communication
becoming even better. The collection, storage and indexing of personal infor-
mation was growing at an unprecedented rate. Once again, there were increas-
ing calls for state and national governments to legislate civility of the
communication channels to mitigate the dangers to personal information.
In response, since the early 2000s, there has been an upsurge in the num-
ber of local and indeed national governments drafting and passing laws, reg-
ulations and mandates imposing standards and obligations on institutions and
businesses for handling personal information, including sensitive health and
financial data. The new laws and standards are all requiring, at a minimum,
disclosures to victims whenever there has been unauthorized access to personal,
sensitive information. Further, these laws and mandates demanded that failure
to protect and disclose to victims of unauthorized access must lead to inves-
tigations, fines, and other penalties. As a result, there are growing legal obli-
gations faced by institutions and businesses to comply with these mandates
and regulations. A good, balanced and unified approach to information secu-
rity compliance consists of a good security policy that effectively balances and
enforces core information security and compliance elements.
The Role of a Policy in the Security
Compliance of an Organization
To any organization interested in security in general and information
security in particular, a security policy is very important. For any organization
system, there must be somebody to say no when the no needs to be said. The
no must be said because the administrator wants to limit the number of net-
work computers, resources, and capabilities people have been using to ensure
the security of the system. One way of doing this in fairness to all is through
the implementation of a set of policies, procedures, and guidelines that tell
all employees and business partners what constitutes acceptable and unaccept-
able use of the organization’s computer system. These form the security policy.
The security policy also spells out what resources need to be protected and
how organizations can protect such resources. A security policy is a living set
of guidelines and procedures that impact and potentially limit the freedoms
and of course levels of individual security responsibilities of all users. Such a
structure is essential to an organization’s security. It is important for, among
other things, dictating firewall installations, user discipline, and all sorts of
12—Security and Compliance 199

relevant compliancy. Any firewalls in use, and their rule-bases, must be con-
figured in adherence to the security policy. Also, all users in the organization
who connect to the organization’s network must conform to the security pol-
icy. Finally, all regulations and standards binding to the organization must
adhere to the security policy.
Without a strong security policy that every employee must conform to,
the organization may suffer from data loss, employee time loss, non-compliance
and productivity loss all because employers may spend time fixing holes, repair-
ing vulnerabilities, and recovering lost or compromised data among other
things.
A security policy covers a wide variety of topics and serves several impor-
tant purposes in the system security cycle. Constructing a security policy is
like building a house; it needs a lot of different components that must fit
together. The security policy is built in stages, and each stage adds value to
the overall product, making it unique for the organization. To be successful,
a security policy must1
:
• Have the backing of the organization’s top management.
• Involve everyone in the organization by explicitly stating the role
everyone will play and the responsibilities of everyone in the security
of the organization.
• Precisely describe a clear vision of a secure environment, stating what
needs to be protected and the reasons for it.
• Set priorities and costs of what needs to be protected.
• Be a good teacher for everyone in the organization, explaining security
and what needs to be protected, and why and how it is to be pro-
tected.
• Set boundaries on what constitutes appropriate and inappropriate
behavior as far as security and privacy of the organization’s resources
are concerned.
• Create a security clearinghouse and authority.
• Be flexible enough to adapt to new conditions.
• Be sure security is consistently implemented throughout the organi-
zation.
• Adhere to all local, state and national laws governing the handling
and security of personal information.
To achieve these subgoals, a carefully chosen set of basic steps must be
followed to construct a viable, implementable, and useful security policy. The
following list provides an example of some items in an infrastructure of a secu-
rity policy that includes compliance:

Staff
• Recruit employees who are capable and whose background has been
checked for positions in the implementation and operation of the net-
work infrastructure.
• Have all personnel involved in the implementation and support of the
network infrastructure attend a security seminar for awareness.
• Instruct all employees concerned to store all backups in a dedicated
locked area.
Equipment Certification
To be sure that quality equipment comply with the standards and regu-
lations used, make every effort to ensure that2
:
• All new equipment to be added to the infrastructure adheres to spec-
ified security requirements.
• Each site of the infrastructure decides which security features and
functionalities are necessary to support the security policy.
• The following good guidelines are used:
° All infrastructure equipment must pass the acquisition certification
process before purchase.
° All new images and configurations must be modeled in a test facility
before deployment.
° All major scheduled network outages and interruptions of services
must be announced to those who will be affected well ahead of
time.
• Portable tools are carefully used:
° Since use of portable tools such as laptops always pose some security
risks, develop guidelines for the kinds of data allowed to reside on
hard drives of portable tools and how that data should be protected.
Audit Trails and Legal Evidence
Prepare for possible legal action by:
• Keeping logs of traffic patterns and noting any deviations from normal
behavior found. Such deviations are the first clues to security problems.
• Keeping the collected data locally to the resource until an event is fin-
ished, after which it may be taken, according to established means
involving encryption, to a secure location.
• Securing audit data on location and in backups.

Privacy Concerns
There are two areas of concern with audit trail logs:
• Privacy issue of the data collected on users.
• Knowledge of any intrusive behavior by others including employees
of the organization.
Security Awareness Training
The strength of a security policy lies in its emphasis on both employee
and user training. The policy must stress that3
:
• Users of computers and computer networks must be made aware of
the security ramiﬁcations caused by certain actions. The training
should be provided to all personnel.
• Training should be focused and involve all types of security that are
needed in the organization, the internal control techniques that will
meet the security requirements of the organization, and ways to main-
tain the security attained.
• Employees with network security responsibilities must be taught secu-
rity techniques probably beyond those of the general public, including
methodologies for evaluating threats and vulnerabilities to be able to
use them to defend the organization’s security, the competencies to
select and implement security controls, and a thorough understanding
of the importance of what is at risk if security is not maintained.
• Before connecting to a LAN in the organization’s backbone, those
responsible for the organization’s security must be provided with doc-
umentation on network infrastructure layout, rules, and guidelines
on controlled software downloads. Pay attention to the training given
to those who will be in charge of issuing passwords.
• Users of computers and computer networks must be made aware of
social engineering.
• Employees must be trained not to believe anyone who calls/e-mails
them to do something that might compromise security.
• Before giving any information, employees must positively identify who
they are dealing with.
Incident Handling
The security of an organization’s network depends on what the security
plan says should be done to handle a security incident. If the response is fast

and effective, the losses may be none to minimum. However, if the response
is bungled and slow, the losses may be heavy. To make sure that the security
plan is clear and effective4
:
• Build an incident response team as a centralized core group, whose
members are drawn from across the organization, who must be knowl-
edgeable, and well-rounded with a correct mix of technical, commu-
nication, and political skills. The team should be the main contact
point in case of a security incident and be responsible for keeping up
to date with the latest threats and incidents, notifying others of the
incident, assessing the damage and impact of the incident, finding out
how to minimize the loss, avoiding further exploitation of the same
vulnerability, and making plans and efforts to recover.
• Detect incidents by looking for signs of a security breach in the usual
suspects and beyond. Look for abnormal signs from accounting
reports, focus on signs of data modification and deletion, check out
complaints of poor system performance, pay attention to strange traf-
fic patterns and unusual times of system use, and take interest in large
numbers of failed login attempts.
• Assess the damage by checking and analyzing all traffic logs for abnor-
mal behavior, especially on network perimeter access points such as
Internet access or dial-in access. Pay particular attention when verify-
ing infrastructure device checksum or operating system checksum on
critical servers to see whether operating system software has been com-
promised or if configuration changes in infrastructure devices such as
servers have occurred to ensure that no one has tampered with them.
Make sure to check the sensitive data to see whether it has been
accessed or changed and traffic logs for unusually large traffic streams
from a single source or streams going to a single destination, passwords
on critical systems to ensure that they have not been modified, and
any new or unknown devices on the network for abnormal activities.
• Report all alerts promptly.
• Establish a systematic approach for reporting incidents and subse-
quently notifying affected areas.
• Use essential communication mechanisms including a monitored cen-
tral phone, e-mail, pager, or other quick communication devices.
• Establish clearly whom to alert first and who should be on the list of
people to alert next.
• Decide on how much information to give each member on the list.
• Find ways to minimize negative exposure, especially where it requires
working with agents to protect evidence.

• Respond to the incident to try to restore the system to its pre-incident
status. Sometimes it may require shutting down the system; if this is
necessary, then do so but keep accurate documentation and a log book
of all activities during the incident so that this data can be used later
to analyze any causes and effects.
• Try to recover from an incident as quickly as possible.
• Make a post-mortem analysis of what happened, how it happened,
and what steps need to be taken to prevent similar.
• Develop a formal report with proper chronological sequence of events
to be presented to management.
• Make sure not to overreact by turning your system into a fortress.
Security Compliance Management
For an institution and company to be in compliance means its total adher-
ence to a security and compliance management framework consisting of the
rules, standards and mandates. This sometimes can be not only difficult but
sometimes frustrating, time-consuming, and expensive. This is because being
in security compliance calls for adherence to strict access controls and regular
system audit. In addition, system administrators must also5
:
• Regularly and continuously monitor all access controls to make sure
that they are fully working well.
• Automatically log all event data across the network.
• Archive event logs for easy access to complete and secure audit trails.
• Provide a centralized view of security and compliance posture.
• Enable rapid threat identiﬁcation, remediation and reporting.
• Automatically send alerts for security, policy and compliance viola-
tions.
• Correlate volumes of diverse events to prioritize the true threats.
• Document all incidents with full, detailed auditable records.
• Provide all out-of-the box and customizable compliance reporting.
• Report all criminal acts to law enforcement agencies.
Most Common Information Security
Laws and Regulations
In the United States, there is a long list of institutional, local, state and
federal information security laws and regulations. Most of these laws and reg-

ulations are not intended to cover everyone and every type of industry. They
are targeted to particular industries and services. For example, there are those
governing the security and privacy of information in the financial industry,
those in health, in education and so on. Let us look at a few of these.
Education Based Laws and Regulations
Family Educational Rights and Privacy Act (FERPA)
The Family Educational Rights and Privacy Act (FERPA) (20 U.S.C. §
1232g; 34 CFR Part 99) is a federal law that protects the privacy of student
education records. The law applies to all schools that receive funds under an
applicable program of the Department of Education.
Although FERPA gives rights to protect the privacy of a student’s edu-
cation record, according to the U.S. Department of Education, for children
under eighteen years, these rights remain vested with the parents or guardians.
When the student turns eighteen, then, these rights are transferred to the stu-
dent. Students to whom the rights have transferred are “eligible students.” So
under FERPA, parents or eligible students have the right to6
:
• Inspect and review the student’s education record maintained by the
school. As long as parents and “eligible” students are able to view the
records, schools are not required to provide copies of them.
• Request that a school correct records which they believe to be inac-
curate or misleading. If the school decides not to amend the record,
the parent or eligible student then has the right to a formal hearing.
Generally, schools must have written permission from the parent or eli-
gible student in order to release any information from a student’s education
record. However, FERPA allows schools to disclose those records, without
consent, to the following parties or under the following conditions (34 CFR
§ 99.31)7
:
• School officials with legitimate educational interest;
• Other schools to which a student is transferring;
• Specified officials for audit or evaluation purposes;
• Appropriate parties in connection with financial aid to a student;
• Organizations conducting certain studies for or on behalf of the
school;
• Accrediting organizations;
• To comply with a judicial order or lawfully issued subpoena;
• Appropriate officials in cases of health and safety emergencies; and

• State and local authorities, within a juvenile justice system, pursuant
to specific state law.
Financial Laws
Gramm-Leach-Bliley Act (GLBA)
The Gramm-Leach-Bliley Act, 15 U.S.C. §§6801–6809 or the Financial
Modernization Act as it is also known, regulates the sharing of personal infor-
mation of those individuals who obtain financial products or services from
financial institutions.8
Under the act, financial institutions are required to
inform individuals about their privacy policies and practices, so that those
individuals can make choices about their financial dealings with those insti-
tutions. However, the act gives consumers limited control over how these
financial institutions can use and share the consumer’s personal information.
The limited control over consumer data held by these institutions is through
opt-outs. An opt-out is an option the consumer has that prevents the institution
from using or disclosing of the customer’s personal data beyond the purpose
it was collected for.
The Payment Card Industry Data
Security Standard (PCIDSS)
The Payment Card Industry Data Security Standard (PCIDSS) is a pri-
vate compliance requirement by the credit and debit card industry that requires
all entities private or public that use payment cards to comply with a number
of technical, physical, and administrative requirements; otherwise those enti-
ties would incur large penalties and suspension of the right to use credit cards
for payment purposes.
The Sarbanes-Oxley Act (SOX) of 2002
The Sarbanes-Oxley Act (SOX) of 2002 mandates a strong corporate
governance to restore investor confidence. The law came in the wake of a num-
ber of major corporate and accounting scandals by many big companies in the
United States. The act established the following9
:
• New accountability standards and criminal penalties for corporate
management.
• New independence standards for external auditors.
• A Public Company Accounting Oversight Board (PCAOB) under

the Security and Exchange Commission (SEC) to oversee public
accounting firms and issue accounting standards.
General Laws
Federal Information Security Management Act (FISMA)
The Federal Information Security Management Act (FISMA), 2002,
focuses on federal agencies. It requires each federal agency to develop, docu-
ment, and implement an agency-wide program to provide information security
for the information and information systems that support the operations and
assets of the agency, including those provided or managed by another agency,
contractor, or other source.
According to FISMA, an effective information security program should
include10
:
• Periodic assessments of risk, including the magnitude of harm that
could result from the unauthorized access, use, disclosure, disruption,
modification, or destruction of information and information systems
that support the operations and assets of the organization.
• Policies and procedures that are based on risk assessments and that
cost-effectively reduce information security risks to an acceptable level
and ensure that information security is addressed throughout the life
cycle of each organizational information system.
• Subordinate plans for providing adequate information security for
networks, facilities, information systems, or groups of information
systems, as appropriate.
• Security awareness training to inform personnel (including contractors
and other users of information systems that support the operations
and assets of the organization) of the information security risks asso-
ciated with their activities and their responsibilities in complying with
organizational policies and procedures designed to reduce these risks.
• Periodic testing and evaluation of the effectiveness of information
security policies, procedures, practices, and security controls, which
should be performed with a frequency depending on risk, but no less
than annually.
• A process for planning, implementing, evaluating, and documenting
remedial actions to address any deficiencies in the information security
policies, procedures, and practices of the organization.
• Procedures for detecting, reporting, and responding to security inci-
dents.

• Plans and procedures to ensure continuity of operations for informa-
tion systems that support the operations and assets of the organiza-
tion.
Health Laws
The Health Insurance Portability and
Accountability Act (HIPAA)
The Administrative Simplification provisions of the Health Insurance
Portability and Accountability Act of 1996 (HIPAA) contain both security
and privacy provisions.1
1
HIPAA applies to covered entities that use certain
electronic transactions—entities such as those most health care providers,
health plans, and health care clearinghouses use. In the higher education arena,
HIPAA most often applies to clinics used by both students and staff and to
academic medical centers. The security regulations of HIPAA require covered
entities to protect specific types of individually identifiable health information
kept in electronic form, referred to as Electronic Protected Health Information
(EPHI). To comply with the HIPAA security regulations, covered entities
must protect systems that store, process, and transmit EPHI. Entities must
conduct periodic risk analyses to determine and implement reasonable and
appropriate administrative, physical, and technical safeguards. The security
regulations also require the implementation of risk-management processes,
including policies and procedures and other documentation and training.
Although HIPAA does not allow individuals to sue covered entities that
do not comply with the law, it does provide criminal and civil penalties for
noncompliance.
Other Laws
FDA Rule on Electronic Records and
Electronic Signatures (21 C.F.R. Part 11)
In 1997, the U.S. Food and Drug Administration (FDA) issued 21 C.F.R.
Part 11, which consists of regulations that provide criteria for the acceptance
of electronic records. These criteria include specific information security and
electronic signature practices.

Appendix:
Questions for Classroom Use
Teachers using this book may find the following questions helpful in
classroom discussions or preparing tests on the material.
Chapter 1
1. Discuss the risks of technology.
2. How much trust can we put in computer technology?
3. Is our increasing dependence on computer technology a reflection of
our deepening trust in computer technology?
Chapter 2
1. Define morality.
2. Is morality evolutionary or revolutionary? Discuss.
3. Happiness is human. Discuss.
4. What is the role of education in moral behavior?
5. Show how and why the following rules are culture-free:
(a) The Golden Rule
(b) The Bronze Rule
6. If you were charged with creating a “new” human society, what moral
code would you design and why?
7. We tend to live a moral script every day. Reflect on what is in your
script.
8. Morality is time sensitive. Discuss.
9. How does guilt influence our moral journey?
209

Chapter 3
1. What is an ethical theory?
2. Discuss two of the following ethical theories:
(a) Relativism
i. Subjective
ii. Cultural
(b) Divine Command
(c) Kantianism
(d) Utilitarianism
i. Act utilitarianism
ii. Rule utilitarianism
(e) Social contract
3. Discuss implications of Internet addiction.
4. What is “an ethical point of view”?
5. Discuss the differences between morality and ethics.
Chapter 4
1. How would you deﬁne ethics to the following audiences?
(a) Seventh-graders
(b) College students
(c) Members of the clergy
2. Why are acts like abortion legal in some societies and not in others?
3. Does technology bring relevant changes in ethics?
4. For a seventh-grade audience, use the traditional mode of ethics to
explain the effects of technology on ethics.
5. What are the merits of computer ethics education?
6. Why should we study computer ethics?
7. There are two views on teaching computer ethics. State the views.
What view do you agree with and why?
Chapter 5
1. What is a communication protocol?
2. List the major protocols for:
i. OSI
ii. TCP/IP
3. Discuss two LAN technologies that are not Ethernet or Token Ring.
4. Why is Ethernet technology more appealing to users than the rest of
the LAN technologies?
5. What do you think are the weak points of TCP/IP?
210 Appendix

6. Why do we need communication protocols?
7. List the major protocols discussed in this chapter.
8. Besides ISO and TCP/IP, what other models are there?
9. Discuss the pros and cons of four LAN technologies.
10. List four WAN technologies.
Chapter 6
1. Why is IP spoofing a basic ingredient in many cyber attacks, espe-
cially DDoS?
2. Why have Windows NT and UNIX operating systems been a prime
target of cyber attacks?
3. Suggest ways to prevent e-mail attacks.
4. Why is it so difficult to apprehend cyber attackers outside a country?
5. Research reasons why it took the FBI a long time to apprehend the
authors of the DDoS attacks on eBay, CNN and E*Trade.
Chapter 7
1. List five types of e-attacks.
2. In a short essay, discuss the differences between a denial of service
attack and a penetration attack.
3. Which attack type is more dangerous to a computer system: a pen-
etration attack or a denial of service attack?
4. What are the major differences between a boot virus and a macro
virus? Which is more dangerous to a computer system?
5. List and briefly discuss five attack motives.
6. Why do hackers devote a substantial amount of time to their trade?
7. Why is civilizing the Internet a difficult task?
8. Comprehensively define “cyberspace.”
9. How are viruses spread?
10. Discuss the most common security flaw.
11. List and discuss the elements that make a crime an e-crime.
12. Create a list of times that you think may form a basis for a model for
computing e-crime costs.
13. Discuss the challenges in tracking down cyber criminals.
14. Why is it so difficult to estimate the costs of business, national, and
global e-crimes?
15. What is the best way to bring about full reporting of e-crimes, includ-
ing costs?
16. Why do countries worldwide have very little information to help
them combat cyber crimes?
Questions for Classroom Use 211

17. Why are cyber crimes on the rise?
18. In addition to monetary costs, there are ethical and social costs of
e-crimes; discuss these “hidden” costs.
Chapter 8
1. Why is a security policy so important in the security of a network?
2. Discuss the advantages and disadvantages of filtering.
3. If you were a network security chief, which of the following items
would you put more emphasis on? Why?
i. Prevention
ii. Detection
iii. Survivability
4. How can a system security team avoid an e-attack?
5. In a short essay discuss the measures being undertaken in each of the
following categories to prevent e-attacks:
i. Prevention
ii. Detection
iii. Survivability
6. Discuss the merits of legislating Internet policies.
7. Why is self-regulation a viable Internet control tool?
8. Discuss the differences between a firewall and a packet filter.
9. Give reasons why firewalls do not give foolproof security.
10. Discuss the advantages of using an application-level firewall over a
network-level firewall.
11. Show how data protocols such as TCP, UDP, and ICMP can be
implemented in a firewall and give the type of firewall best suited for each of
these protocols.
12. What are circuit-level firewalls? How are they different from
network-level firewalls?
13. Discuss the limitation of firewalls. How do modern firewalls differ
form the old ones in dealing with these limitations?
14. How would you design a firewall that would let Internet-based users
upload files to a protected internal network server?
15. Discuss the risks to the protected internal network as a result of a
DMZ.
16. What is a bastion router? How different is it from a firewall?
17. Search and discuss as many services and protocols as possible offered
by a modern firewall.
18. Discuss five modern online crimes.
19. Discussstrategiesthatcanbeusedtoeffectivelyeliminateonlinecrimes?
212 Appendix

20. If you were to write a framework to prevent cyber crimes what would
be in it.
21. Is cryptography all we need to secure computer network and protect
information?
22. Why is cryptography failing to protect digital systems and informa-
tion? What do we need to do?
Chapter 9
1. Differentiate between a social network and an online social net-
work.
2. Discuss the challenges faced by members of the online social net-
works.
3. Discuss the social and ethical implications of the growth of online
social networks.
4. Is there a gender gap problem in online social network? If yes, what
needs to be done?
5. How can privacy of users of online social networks be strengthened?
6. Discuss the ways privacy can be violated on online social networks.
Chapter 10
1. Discuss the steps you would take to protect your mobile device.
2. Search the Internet to find a company’s security policy for its mobile
devices. Suggest what you would change in that security policy to enhance
security.
3. Study three remote wiping solutions and compare them.
4. Comment on the reasons for the rapid growth of the Android Oper-
ating system.
5. Recently Apple’s iOS4 encryption was hacked by a Russian company.
Compare, discuss the weaknesses in the iOS4 disclosed by the Russian company.
Chapter 11
1. What is cloud computing?
2. Discuss the software models predating cloud computing.
3. Discuss the major models in cloud computing.
4. What are the benefits of cloud computing over software as a service
(SaaS)?
5. Define and discuss Software as a service (SaaS), Infrastructure as a
service (IaaS), and storage as a service.
Questions for Classroom Use 213

6. Describe the seven business models of software.
7. Discuss the services that make up cloud computing.
8. Discuss the differences between clouding computing and virtualiza-
tion.
9. Discuss four business applications best suited for cloud computing.
10. To determine what business applications should go on the cloud you
need to estimate the return on investment for that application. What can you
consider when computing ROI?
11. List and discuss three characteristics an application must have in
order to be considered suited for the cloud.
12. What is MapReduce? Describe the structure and working of MapRe-
duce.
13. What is Hadoop? Describe the three subprojects of Hadoop.
Chapter 12
1. What is an audit trail? Why is it so important in the security of an
organization?
2. Why is security awareness training so important in enforcing a secu-
rity policy in an organization?
3. What is security compliance? Why is it necessary in security enforce-
ment? What form must it take?
4. Discuss two security compliance laws that you consider effective.
5. Suggest changes, if any, to those laws that you deem necessary for
their effectiveness.
6. Discuss other areas of the security matrix that still need compliance
laws and why.
214 Appendix

Chapter Notes
215
Chapter 1
1. Lawrence A. Gordon, Martin P. Loeb,
William Lucyshyn and Robert Richardson,
“2005 CSI/FBI Computer Crime and Secu-
rity Survey,” http://i.cmpnet.com/gocsi/db_
area/pdfs/fbi/FBI2005.pdf.
2. Consumers Union, “Another Week, An-
other Identity Theft Scandal: Recent Data Se-
curity Breaches Underscore Need for Stronger
Identity Theft Protections,” www.consumers
union.org/campaigns/learn_more/002232
indiv.html.
3. http://www.canberra.edu.au/cis/stor-
age/Cyber%20Crime%20and%20Security%2
0Survey%20Report%202012.pdf.
4. ICS-CERT: Cyber Threat Source De-
scriptions, http://ics-cert.us-cert.gov/content/
cyber-threat-source-descriptions.
5. ”Infosecurity 2012: Survey Proves Value
of Security Awareness Program,” http://www.
computerweekly.com/news/2240149227/
Infosecurity-2012-Survey-proves-value-of-
security-awareness-programme.
6. ”Government Launches Cyber Crime
Reduction Partnership,” http://www.bcs.org/
content/conWebDoc/50154.
7. “Defending Against Cybercriminal,”
http://www.dhs.gov/defending-against-cyber
criminals.
8. “Cyber Crime,” http://www.fbi.gov/
about-us/investigate/cyber/cyber.
Chapter 2
1. Chris MacDonald, “Moral Decision
Making: An Analysis,” www.ethics.web.ca/
guide/moral-decision.html.
2. “Moral Relativism,” Internet Encyclope-
dia of Philosophy, www.utm.edu/research/
iep/ni/m-ration.html.
3. Carl Sagan, “A New Way to Think
About Rules to Live By,” Parade Magazine,
November 28, 1993, p. 12.
4. Lee Bohannon, “The Need for a Moral
Code,” www.abortionessay.com/ﬁles/moral-
code.html.
5. Austin Fagothey, Rights and Reason,
2d ed. (Rockford, IL: Tan, 1959).
6. Michael Miller, “The Good Life,” www.
quackgrass.com/goodlife.html.
Chapter 3
1. Robert C. Solomon, Morality and the
Good Life: An Introduction to Ethics Through
Classical Sources, 2d ed. (New York: McGraw-
Hill, 1992).
2. Ibid.
3. D. J. Johnson. Computer Ethics, 2d ed.
(Upper Saddle River, NJ: Prentice Hall,
1994).
4. Internet Encyclopedia of Philosophy,
www.utm.edu/research/lep/ni.
5. Austin Fagothey, Rights and Reason,
2d ed. (Rockford, IL: Tan, 1959).
6. Richard T. Hull, “The Varieties of Eth-
ical Theories,” www.richard-t-hull.com/publi-
cations/varieties.pdf.
7. Ibid.
8. Ibid.
9. Joseph M. Kizza, Computer Network
Security (New York: Springer, 2005).
10. Johnson.
11. Ibid.
12. “The Purpose of Ethics,” www.sympa-
tico.ca/saburns/pg0401.htm.

Chapter 4
1. Ken Funk, “Technology and Christian
Values,” http://web.engr.oregonstate.edu/~
funkk/Technology.
2. Joseph M. Kizza, Ethical and Social
Issues in the Information Age, 2d ed. (New
York: Springer, 2002).
3. Ibid.
4. Ibid.
Chapter 5
1. William Stallings, Local and Metropol-
itan Area Networks, 6th ed. (Upper Saddle
River, NJ: Prentice Hall, 2000).
2. Ibid.
3. Douglas Comer, Computer Networks
and Intranets (Upper Saddle River, NJ: Pren-
tice Hall, 1997).
4. Douglas Comer, Internetworking with
TCP/IP: Principles, Protocols, and Architec-
ture, 4th ed. (Upper Saddle River, NJ: Prentice
Hall, 2000).
5. James F. Kurose and Keith W. Ross,
Computer Networking: A Top-Down Approach
Featuring the Internet (Boston: Addison-
Wesley, 2000).
Chapter 6
1. Netscape, “‘Love Bug’ Computer Virus
Wreaks Fresh Havoc,” www.mynetscape.
com/news; CNN, “Canadian Juvenile
Charged in Connection with February ‘De-
nial of Service’ Attacks,” http://cnn.com/
2000/TECH/computing/04/15/hacker.
arrest.01.html.
2. Merike Kaeo, Designing Network Secu-
rity: A Practical Guide to Creating a Secure
Network Infrastructure (Indianapolis, IN:
Cisco, 1999).
3. Ibid.
4. “CERT/CC Statistics 1988–2005,”
CERT Coordination Center, Carnegie Mel-
lon Software Engineering Institute. www.cert.
org/stats/cert_stats.html.
5. Ibid.
6. “Online and Out of Line: Why Is
Cybercrime on the Rise, and Who Is Respon-
sible?” ABC, www.ABCNews.com/sections/
us/DailyNews/cybercrime_000117.html.
7. “Security in Cyberspace.” U.S. Senate
Permanent Subcommittee on Investigations,
June 5, 1996. www.fas.org/irp/congress/1996
_hr/s960605t.htm.
8. Ibid.
9. Ibid.
10. “Online and Out of Line.”
Chapter 7
1. “Section A: The Nature and Deﬁni-
tion of Critical Infrastructure,” The National
Infrastructure Protection Center, www.nipc.
gov/nipcfaq.htm.
2. William Stallings, Cryptography and
Network Security: Principles and Practice, 2d
ed. (Upper Saddle River, NJ: Prentice Hall,
1998).
3. Peter J. Denning, ed., Computers
Under Attack: Intruders, Worms and Viruses
(New York: ACM, 1990).
4. Karen Forcht, Computer Security Man-
agement (Danvers, MA: Boyd and Fraser,
1994).
5. Ibid.
6. Denning.
7. Ibid.
8. T. Fiserberg, David Gries, Juris Hart-
manis, Don Holcomb, M. Stuart Lynn, and
Thomas Santoro, “The Cornell Commission:
On Morris and the Worm,” in Computers Un-
der Attack: Intruders, Worms and Viruses, ed.
Peter J. Denning (New York: ACM, 1990).
9. Denning.
10. P. Stephenson, “Preventive Medicine,”
LAN Magazine, November 1993.
11. Andrew Grosso, “The Economic Espi-
onage Act: Touring the Mineﬁelds,” Commu-
nications of the ACM, vol. 43, no. 8 (August
2000): 15–18.
12. Don Seely, “Password Cracking: A
Game of Wits,” in Computers Under Attack:
Intruders, Worms and Viruses, ed. Peter J.
Denning (New York: ACM, 1990).
13. F. Grampp and R. Morris, “UNIX Op-
erating System Security,” Part 2, AT&T Bell
Laboratories Tech Journal, vol. 63, no. 8 (Oc-
tober 1984): 1649.
14. Ibid.
15. Peter G. Neumann, “Risks of Insiders,”
Communications of the ACM, vol. 42, no. 12
(December 1999): 160.
16. Wally Bock, “The Cost of Laptop
Theft,” www.bockinfo.com/docs/laptheft.
htm.
216 Chapter Notes

17. Steven Levy, Hackers: Heroes of the
Computer Revolution (Garden City, NY: An-
chor Press/Doubleday, 1984).
18. Clifford Stoll, “Stalking the Wily
Hacker,” in Computers Under Attack: Intrud-
ers, Worms and Viruses, ed. Peter J. Denning
(New York: ACM, 1990).
19. Ibid.
20. Jonathan Calof, “Increasing Your CIQ:
The Competitive Intelligence Edge,” www.
edco.on.ca/journal/item22.htm.
21. http://www.gfi.com/blog/the-most-
vulnerable-operating-systems-and-applica-
tions-in–2011/#sthash.PPHmEajK.dpuf.
22. http://www.gfi.com/blog/the-most-
vulnerable-operating-systems-and-applica-
tions-in-2011/#sthash.PPHmEajK.dpuf.
23. “SCO SNMPd Default Writeable
Community String,” www.securiteam.com/
unixfocus/SCO_SNMPd_default_writeable_
community_string.html.
24. http://www.esecurityplanet.com/net-
work-security/6-emerging-security-threats-
and-how-to-fight-them.html.
25. http://www.esecurityplanet.com/net-
work-security/6-emerging-security-threats-
and-how-to-fight-them.html.
26. “CERT/CC Statistics 1998–2005,”
CERT Coordination Center, Carnegie Mel-
lon Software Engineering Institute, www.cert.
org/stats/cert_stats.html.
27. John Christensen, “Bracing for Gue-
rilla Warfare in Cyberspace,” CNN, April 6,
1999.
28. “Computer Attacks: What They Are
and How to Defend Against Them,” www.
bluemud.org/article/11438.
29. CNN Headline News, May 28, 2000.
30. “The 2012 Cost of Cyber Crime Re-
port Says Successful Attacks Doubled,” =
http://www.infosecurity-magazine.com/
view/28664/the-2012-cost-of-cyber-crime-
report-says-successful-attacks-doubled-/.
31. David S. Alberts, “Information War-
fare and Deterrence—Appendix D: Defensive
War: Problem Formation and Solution Ap-
proach,” www.ndu.edu/inns/books/ind/appd.
htm.
32. Mary Mosquera, “Computer Attacks
Spreading,”TechWeb,November18,1999,www.
techweb.com/wire/story/TWB19991118S0003.
33. Ibid.
Chapter 8
1. Joseph M. Kizza, Computer Network
Security (New York: Springer, 2005).
2. Mani Subramanian, Network Manage-
ment: Principles and Practice (Boston: Addi-
son-Wesley, 2000).
3. Merike Kaeo, Designing Network Secu-
rity: A Practical Guide to Creating a Secure
Network Infrastructure (Indianapolis, IN:
Cisco, 1999).
4. Kizza, Computer Network Security;
Mick Bauer, “Paranoid Penguin: Practical
Threat Analysis and Risk Management,”
Linux Journal 93 (March 2003).
5. R. Smith, Internet Cryptography (Bos-
ton: Addison-Wesley, 1997).
6. William Stallings, Cryptography and
Network Security: Principles and Practice, 2d
ed. (Upper Saddle River, NJ: Prentice Hall,
1998).
7. “Nmap—The Network Mapper,” www.
insecure.org/nmap.
8. Ibid.
9. Lincoln Stein, Web Security: A Step-
by-Step Reference Guide (Boston: Addison-
Wesley, 1998).
10. “Computer Attacks: What They Are
and How to Defend Against Them,” Com-
puter Security Resource Center, National In-
stitute of Standards and Technology, May
1999, http://csrc.nist.gov/publications/nist
bul/html-archive/may-99.html.
11. Mick Bauer, “Paranoid Penguin: Prac-
tical Threat Analysis and Risk Management,”
Linux Journal 93 (March 2003).
12. Janet Kornblum. “Federal Unit to
Fight Hacking,” CNET News.com, http://
news.com.com/2100–1023–208562.html.
13. Stein.
14. Kornblum.
15. Kizza.
16. Marcus J. Tanum, “Network Forensics:
Network Traffic Monitoring,” www.nfr.net/
forum/publications/monitor.html.
17. Ibid.
18. Stein.
19. Ibid.
20. Tanum.
21. Stallings.
22. Ibid.
23. James F. Kurose and Keith W. Ross,
Computer Networking: A Top-Down Approach
Chapter Notes 217

Featuring the Internet (Boston: Addison-
Wesley, 2000).
24. M. Mullins, “Implementing a Network
Intrusion Detection System,” May 16, 2002,
http://www.zdnet.com.au/itmanager/tech-
nology/story/0,2000029587,20265285,00.
htm.
25. Ibid.
26. “Central Texas LAN Association Net-
work vs. Host Based Intrusion Detection.”
http://www.ctla.org/newsletter/1999/0999
nl.pdf.
27. M. Handley, V. Paxson and C. Krei-
bich, “Network Intrusion Detection: Evasion,
Traffic Normalization, and End-to-End Pro-
tocol Semantics.” http://www.icir.org/vern/
papers/norm-usenix-sec-01-html/norm.html.
28. Mullins.
29. “Central Texas LAN.”
30. “Evolving the High Performance Com-
puting and Communications Initiative to
Support the Nation’s Information Infrastruc-
ture.” http://www.nap.edu/readingroom/
books/hpcc/contents.html.
31. “Information Technology for the
Twenty-First Century: A Bold Investment in
America’s Future.” http://www.ccic.gov/pubs/
it2-ip/.
Chapter 9
1. “Social Network Service.” Wikipedia.
http://en.wikipedia.org/wiki/Social_Net
work_Service.
2. BITNET History, http://www.living
internet.com/u/ui_bitnet.htm.
3. Ibid.
4. Ibid.
5. Janet F. Asteroff, “Electronic Bulle-
tin Boards, A Case Study: The Columbia
University Center for Computing Activities,”
http://www.columbia.edu/acis/history/
bboard.html.
6. Mailing Lists: Listserv History, http://
www.livinginternet.com/l/lli.htm.
7. Ibid.
8. “Social Network Service.”
9. Ibid.
10. Ibid.
11. Ibid.
12. Ibid.
13. Monica Chew, Dirk Balfanz and Ben
Laurie, “(Under)mining Privacy in Social Net-
works,” http://w2spconf.com/2008/papers/
s3p2.pdf.
14. Balachander Krishnamurthy and Craig
E. Wills, “Privacy Leakage in Mobile Online
Social Networks,” http://web.cs.wpi.edu/~
cew/papers/wosn09.pdf.
15. Ibid.
16. Ibid.
17. Ibid.
18. Chew, et al.
Chapter 10
1. “Everything You Need to Know About
Each Mobile OS (Operating System), Parts
1–4,” http://www.fusedblog.com/everything-
you-need-to-know-about-each-mobile-os-
operating-system-part-1-of-4-series-40-
symbian/; and Mark Komisky, “Mobile De-
vice Security II: Handheld Operating Sys-
tems,” http://www.datamation.com/mowi/
article.php/3575316/Mobile-Device-
Security-II-Handheld-Operating-Systems.
htm.
2. http://esec-lab.sogeti.com/post/Anal-
ysis-of-the-jailbreakme-v3-font-exploit.
3. C-Skills, http://c-skills.blogspot.com/
search?q=exploid, July 23, 2010; C-Skills,
http://c-skills.blogspot.com/, July 15, 2010;
and “Android Malware DroidDream: How it
Works,” Lookout Mobile Security Blog,
http://blog.mylookout.com/2011/03/
android-malware-droiddream-how-it-works,
March 2011.
4. “Types of Bluetooth Hacks and Its Se-
curity Issues,” http://hassam.hubpages.com/
hub/Types-Of-Bluetooth-Hacks-And-Its-
Security-Issues.
5. http://trifinite.org/trifinite_stuff_blue
dump.html.
6. Ibid.
7. Wikipedia, http://en.wikipedia.org/
wiki/Mobile_device_management.
8. Komisky, “Mobile Device Security II.”
Chapter 11
1. Peter Mell and Timothy Grance, “The
NIST Definition of Cloud Computing,
NIST Special Publication 800–145,” http://
csrc.nist.gov/publications/nistpubs/800-
145/SP800-145.pdf, 2011.
2. Greenpeace. “Make IT Green: Cloud
Computing and its Contribution to Climate
218 Chapter Notes

Change,” Greenpeace USA, http://www.
greenpeace.org/usa/en/media-center/
reports/make-it-green-cloud-computing/.
3. Neil MacDonald, “Yes, Hypervisors Are
Vulnerable,” http://blogs.gartner.com/neil_
macdonald/2011/01/26/yes-hypervisors-are-
vulnerable/, January 26, 2011.
4. IBM X-Force 2010 Mid-Year Trend and
Risk Report, http://www-05.ibm.com/fr/
pdf/IBM_X-Force2010_Mid-Year_Trend_
and_Risk_Report.pdf.
5. “Elastic Load Balancing,” AWS, http://
aws.amazon.com/elasticloadbalancing/.
6. http://it-audit.sans.org/community/
papers/ids-load-balancer-security-audit-ad-
ministratorsperspective_119.
7. Ibid.
Chapter 12
1. Joseph M. Kizza, A Guide to Computer
Network Security (London: Springer-Verlag,
2009).
2. Ibid.
3. Kizza.
4. Ibid.
5. “Security Compliance Management,”
NetForensics, http://www.netforensics.com/
compliance/.
6. Family Educational Rights and Privacy
Act (FERPA), http://www2.ed.gov/policy/
gen/guid/fpco/ferpa/index.html.
7. Ibid.
8. Financial Modernization Act (Gramm-
Leach-Bliley Act), http://www.consumerpri-
vacyguide.org/law/glb.shtml.
9. Sarbanes-Oxley. http://www.soxlaw.
com/.
10. FISMA, Detailed Overview, http://
csrc.nist.gov/groups/SMA/ﬁsma/overview.
html.
11. Health Insurance Portability and Ac-
countability Act (HIPAA), Centers for Medi-
care and Medical Aid Services. http://www.
cms.gov/hipaageninfo/.
Chapter Notes 219

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Index
225
ABC 79, 216, 224
ACK 51, 62–67, 130, 132, 141
ACNs 67
ACS 142–144
act deontologists 20
act utilitarianism 19, 210
advisories 21
advocacy 28, 30
agapeism 19
agathism 19
ARPA 61, 198
ARPANET 56, 164–165
assessment 78, 123, 127, 130, 207, 224
asynchronous tokens 141
audit 74, 95, 104, 126, 201–202, 204–205
authentication 70, 105, 107–109, 123, 131,
134, 137–145, 155, 180, 182, 192, 195,
195
BBS 164–165
best practices 1, 2, 8, 10, 116, 123–125, 127,
129, 131, 131, 137, 139, 141, 143, 145, 147,
149, 151, 153, 155, 157, 159, 176, 181, 196
BITNET 164–165, 218
boot sector 68, 88–90, 98
broadband 45, 224
censorship 153, 213
CERT 6, 9, 215–217, 221
certiﬁcation 126, 201
CHAP 96, 144
Chargen Attack 74
ciphertext 136–137
communication networks 6, 32–34, 41, 45,
50, 52, 53, 56, 60–62, 77, 87, 98, 108, 109,
115, 147–149, 161–165, 168–169, 171,
175, 177, 218, 221, 224
compliance 2, 129, 162, 192, 197–216, 224
conscience 39–40
consequentialism 40
content blocking 156
crackers 94
CRC 39
cryptography 134, 136, 176, 216, 217, 224
CSMA 39–40
CSMA/CD 40
cybercrime 3, 5, 7–9, 78, 79, 114–116, 155,
216, 224
cyberpol 116
datagrams 53, 57–59, 63–66, 71, 128, 132,
133
DDoS 60, 71, 73, 77, 78, 102, 109, 115, 119,
178, 211
decision making 1, 17, 23–27, 84, 145, 166,
215, 223
detection 39, 78, 91, 92, 114, 118, 123, 148–
158, 212, 218, 222, 224
digital divide 214, 222
dilemmas 23, 25, 26
DISA 78
DNS 107, 110, 111
DOD 56
DSA 114
e-attack 60, 73, 77, 83–88, 99–102, 106,
113, 117–121, 128, 152, 157–158, 175–176,
211–212, 221
ECDSA 144
ECHO_REQUESTS 72–73
egoism 19
embezzlement 95
encryption 30, 105, 116, 126, 134, 136–137,
141, 143, 149, 181–182, 195–196

enterprise 8, 82–99, 117, 182, 194, 198, 221
espionage 94, 98–100, 222
FAT 68
FDDI 39, 41
FDM 43
FERPA 205, 219, 222
firewalls 126–150, 155, 200
FISMA 197, 207, 209, 222
flooding 764–66, 96
fraud 79, 89, 93, 95
FRC 30
FTP 57, 72, 103, 109, 130, 134, 144, 146
gateways 33, 46, 48, 50, 52
GLBA 206
governance 206, 213
guilt 14, 15, 209
hedonism 219
HIDS 147–149, 151
humanware 32
ICMP 58, 71–74, 130, 152, 212
identity 5, 9, 54, 130, 137, 139, 141, 143–
144, 166–167, 215, 222
IEEE 22, 144
IGMP 58
incident 2, 59, 60, 77, 79, 85–86, 93, 98,
115, 121, 127, 158, 167, 202–204
infrastructure 2, 9, 32–33, 37, 39, 41, 43,
49–51, 53, 55, 57, 59–61, 63, 73, 75, 77–
78, 80, 82–83, 102, 116, 122–123, 142,
1344, 158, 161, 172, 183, 186–188, 191,
195, 200, 201–203, 214
instant messaging 104, 106, 113, 163, 167
Internet protocol 49–50, 54, 56–59, 61, 63,
71–73, 107–108, 184, 195, 210
intrusion 78, 85, 91–92, 118, 123, 147–149,
152, 166–167, 218, 222
IP-Spoofing 63, 67, 72–73, 76, 211
ISN 67, 70, 224
KDC 136
kerberos 142–143
LAN 33–34, 36, 39–41, 45–50, 69, 72,
84, 96, 103, 105, 202, 210–211, 216, 218,
224
layers 20–21, 54–56, 115, 132
legislation 19, 122–123, 153–155
LISTSERV 164–165, 218, 223
malfunctions 83–84
masquerader 84
MD4 encryption algorithm 149
MD5 encryption algorithm 141–143
misleading information 26, 84, 205
misuse 7, 61, 69, 95, 116–117, 157, 166–167,
198
modulation 42
monitoring 7, 70, 118, 129, 130, 146–148,
155, 191, 217, 224
moral theories 12, 17, 18, 210, 215
morality 1, 10–17, 24–31, 210, 215, 224
motives 83, 84, 93, 96–97, 99, 101–102, 119,
211
multicasting 110
net neutrality 223–224
NIDS 148–151
Nmap 129–130, 217, 224
non-repudiable authentication 139
NTIA 222
OSI 54–57, 187, 210
OSNs 161–164, 166–170
packet 42, 49–53, 56–59, 62, 64, 66, 73,
108, 111, 132–134, 141, 146, 150–152,
180, 212
PAP 144
parasites 89, 92
password 7, 70, 74, 92, 105, 107, 120, 137–
138, 140, 142, 155, 216, 224
patching 7, 61, 159
patents 93
penetration 7, 84–85, 88–89, 95–96, 99,
103, 115, 118, 127, 130, 132, 211
ping 71–74, 95, 130, 180
PKI 154, 156
plaintext 136
pluralism 19
privacy 30, 110–120, 125–126, 153, 161–
163, 165–171, 176, 183, 190, 200, 202–
205, 208, 213, 218–219, 221–223
public key 136–137, 140–142, 144, 195,
196
quality of service 8, 33, 93, 184, 192
RADIUS 144
registry 74, 105
responsibility 15, 124, 157, 160, 187
RF transmissions 45
226 Index

routers 52, 54
RST 68
rule deontological theory 19–20
rule utilitarianism 19–20, 210
sabotage 7, 61, 93
scanning 21, 68–69, 94, 120, 127–130
SecurID 138
security awareness 2, 7–10, 30, 60, 81, 127,
201–202, 215
sheath 45
SIGALRM 72
signature 140, 144–145, 150, 152, 208
S/Key 141–142, 144
Smurﬁng 71–73, 96
SNMP 57, 108–109, 217, 224
SOX 197, 206, 219, 224
spyware 104, 172, 176, 179
SSL 108–109, 112, 195
SSPING/JOLT 74
switching 33, 36, 52–53, 56, 62–63
SYN 51, 62, 64–65, 73, 96, 130, 150
SYN-ACK 51, 62, 64–65, 130
TCP/IP 53–63, 74, 107, 110–111, 210–211,
216, 221
teardrop 71, 73
theft 5–9, 85, 90–96, 167, 215–216, 221–
222
token ring 37, 39–41, 141, 210
topography 90, 101–103, 117
topology 33–41, 100–102
trade secrets 93–94
trademarks 93
transmission 32–57, 67, 87–88, 153, 197
UDP 57, 58, 73, 74, 130, 131, 212
UNIX 63, 75, 86, 107, 108–110, 113, 143,
165, 222
utilitarianism 19, 210
virus 4–7, 29, 61, 85–97, 106, 113–117, 222–
223, 129, 147, 152–153, 159, 176–179,
182, 211, 216
VOIP 113, 181
VPN 126, 182
vulnerability 2, 53, 94, 103, 106, 110, 112–
113, 127–130, 158, 177, 194, 203
WAN 33–34, 45, 84, 211
WTO 97
Index 227

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