security in cloud computing

JIEMS, AKKALKUWA Department of Computer Engineering
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A
Seminar Report on
“Security in Cloud Computing”
Bachelor of Engineering
In
Computer
Submitted by:
Mr. Saba Karim
Under the guidance of
Mr. Mohammad Asif
Department of Computer Engineering
Jamia Institute of Engineering & Management Studies
Akkalkuwa- 425415.
[2017-18]

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JAMIA ISLAMIA ISHAATUL ULOOM’S
Jamia Institute of Engineering & Management Studies
Akkalkuwa, Dist. Nandurbar
CERTIFICATE
This is to certify that the seminar report of seminar entitled, “Security in
Cloud Computing”, being submitted by Mr. Saba Karim to [Computer Engineering
Department] is a record of bonafide work carried out by them under my
supervision and guidance during year 2017-2018.
Date:
Place: Akkalkuwa
Seminar Guide Head of Department
[Mr. Mohammad Asif] [Prof. Patel Suhel I]
I/c Principal
[Prof. Syed Irfan]

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ACKNOWLEDGEMENT
I take this opportunity to express my heartfelt gratitude towards the Department of
Computer, JIEMS, Akkalkuwa that gave me an opportunity for presentation of my
seminar in their esteemed organization.
It is a privilege for me to have been associated with Mr. Mohammad Asif, my guide
during this seminars work. I have been greatly benefited by his valuable suggestions and
ideas. It is with great pleasure that I express my deep sense of gratitude to him for his
valuable guidance, constant encouragement and patience throughout this work.
I express my gratitude to Prof. Patel Suhel I [CO HOD] for his constant
encouragement, co-operation, and support and also thankful to all people who have
contributed in their own way in making this seminar success.
I take this opportunity to thank all our classmates for their company during the course
work and for useful discussion I had with them.
Under these responsible and talented personalities, I was efficiently able to complete
seminar in time with success.
Mr. Saba Karim
(T.E COMPUTER ENGG.)

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Table of Content
Sr. No Contents Page No.
01 Abstract 03
02 Introduction 04
03 Evolution of cloud computing 05
04 Cloud architecture 06
05 Cloud security challenges 08
06 Characteristics of cloud computing 09
07 Security challenges 10
08 Need for security in cloud 12
09 Security and privacy attributes 13
10 Cloud integrity 16
11 Cloud availability 18
12 Cloud accountability 19
13 Cloud privacy preservability 21
14 Conclusions 22
15 References 23
List of figure
FIGURE
NO
FIGURES PAGE
NO
4.1 Cloud delivery model 7
4.2 Cloud deployment model 7
4.3 Security and privacy attributes 8

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Abstraction
Cloud computing is an internet-based computing technology, where shared resources such as
software, platform, storage and information are provided to customers on demand.
It is a computing platform for sharing resources that include infrastructures, software,
applications, and business processes. Cloud computing is a virtual pool of computing resources.
Confidentiality, Integrity, Availability, Authenticity, and Privacy are essential concerns
for both Cloud providers and consumers as well. Security concerns have given rise to immerging
an active area of research due to the many security.
This seminar provides a concise but all-round analysis on data security and privacy
protection issues associated with cloud computing.
Then this seminar discusses some current solutions and finally describes future research
work about data security and privacy protection issues in cloud.

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Chapter 1
INTRODUCTION
Cloud computing is an internet-based computing technology, where shared re-sources
such as software, platform, storage and information are provided to customers on demand.
Cloud computing is a computing platform for sharing resources that include infrastructures,
software, applications, and business processes. The exact definition of cloud computing is A
large-scale distributed computing paradigm that is driven by economies of scale, in which a
pool of abstracted, virtualized, dynamically scalable, managed computing power, storage,
platforms, and services are delivered on demand to external customers over the Internet .
Current cloud computing systems pose serious limitation to protecting users data con
dentiality. Since users sensitive data is presented in unencrypted forms to re-mote machines
owned and operated by third party service providers, the risks of unauthorized disclosure of
the users sensitive data by service providers may be quite high. There are many techniques
for protecting users data from outside attackers. An approach is presented to protecting the
con dentiality of users data from ser-vice providers, and ensures service providers cannot
collect users con dential data while the data is processed and stored in cloud computing
systems.
Cloud computing systems provide various Internet based data storage and services. Due to
its many major benefits, including cost effectiveness and high scalability and exibility, cloud
computing is gaining significant momentum recently as a new paradigm of distributed
computing for various applications, especially for business applications. Along with the
rapid growth of the Internet. With the rise of the era of cloud computing, concerns about
Internet Security continue to increase.
To address this problem we propose the design of a system that will capture the movement
of information on the cloud. We will be identifying whether there is a need for some type of
security capture device/measure on the cloud, which will allow users to know whether their
information is secure and safe without comprising from threats and attacks.

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Chapter 2
EVOLUTION OF CLOUD COMPUTING
Cloud computing began to get both awareness and popularity in the early 2000s. When
the concept of cloud computing originally came to prominence most people did not fully
understand what role it fulfilled or how it helped an organization. In some cases people still
do not fully understand the concept of cloud computing.
Cloud computing can refer to business intelligence (BI), complex event processing
(CEP), service-oriented architecture (SOA), Software as a Service (SaaS), Web-oriented
architecture (WOA), and even Enterprise 2.0. With the advent and growing acceptance of
cloud-based applications like Gmail, Google Calendar, Flickr, Google Docs, and Delicious,
more and more individuals are now open to using a cloud computing en-vironment than ever
before. As this need has continued to grow so has the support and surrounding infrastructure
needed to support it. To meet those needs companies like Google, Microsoft, and Amazon
have started growing server farms in order to provide companies with the ability to store,
process, and retrieve data while generating income for themselves.
To meet this need Google has brought on-line more than a million servers in over 30
data centers across its global network. Microsoft is also investing billions to grow its own
cloud infrastructure. Microsoft is currently adding an estimated 20,000 servers a month. With
this amount of process, storage and computing power coming online, the concept of cloud
computing is more of a reality than ever before.
The growth of cloud computing had the net e ect of busi-nesses migrating to a new way
of managing their data infrastructure. This growth of cloud computing capabilities has been
described as driving massive centralization at its deep center to take advantage of economies
of scale in computing power, energy consumption, cooling, and administration.

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Chapter 3
CLOUD ARCHITECTURE
The architecture of cloud involves multiple cloud components communicating with each
other over the application programming interfaces (APIs), usually web services. The two most
significant components of cloud computing architecture are known as the front end and the
back end. The front end is the part seen by the client, i.e. the customer. This includes the
clients network or computer, and the applications used to access the cloud via a user interface
such as a web browser. The back end of the cloud computing architecture is the cloud itself,
which comprises of various computers, servers and data storage devices.
The general architecture of cloud platform is also known as cloud stack given in figure
3.1. Cloud services may before in various forms from the bottom layer to top layer in which
each layer represent one service model. The three key cloud delivery models are software as a
service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS).
Infrastructure-as-a-Service (IaaS) is o ered in the bottom layer, where resources are
aggregated and managed physically (e.g., Emulab) or virtually (e.g., Amazon EC2), and
services are delivered in forms of storage (e.g., GoogleFS), network (e.g., Open ow), or
computational capability (e.g., Hadoop MapReduce). The middle layer delivers Platform-as a-
Service (PaaS), in which services are provided as an environment for programming (e.g.,
Django) or software execution (e.g., Google App Engine). Software- as-a Service (SaaS)
locates in the top layer, in which a cloud provider further con nes client exibility by merely o
ering software applications as a service. Apart from the service provisioning, the cloud
provider maintains a suite of management tools and facilities (e.g., service instance life-cycle
management, metering and billing, dynamic con guration) in order to manage a large cloud
system.
Cloud deployment models include public, private, community, and hybrid
cloudswhich is shown in gure 3.2. Public clouds are external or publicly available cloud
environments that are accessible to multiple tenants, whereas pri-vate clouds are typically
tailored environments with dedicated virtualized resources for particular organizations.
Similarly, community clouds are tailored for particular groups of customers.

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Figure 3.1: Cloud delivery model
Figure 3.2: Cloud deployment model

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Chapter 4
CLOUD SECURITY CHALLENGES
The world of computation has changed from centralized to distributed systems and now we are
getting back to the virtual centralization which is the Cloud Computing. Location of data and
processes makes the difference in the realm of computation.
We have the cloud computing wherein, the service and data maintenance is provided by
some vendor which leaves the client/customer unaware of where the processes are running or
where the data is stored. So, logically speaking, the client has no control over it. The cloud
computing uses the internet as the communication media.
When we look at the security of data in the cloud computing, the vendor has to provide
some assurance in service level agreements (SLA) to convince the customer on security issues.
Organizations use cloud computing as a service infrastructure, critically like to examine the
security and confidentiality issues for their business critical in-sensitive applications. What are
the security concerns that are preventing companies from taking advantage of the cloud? This
section deals with the taxonomy of the security concerns.
Traditional security issues are still present in cloud computing environments. But as enterprise
boundaries have been extended to the cloud, traditional security mechanisms are no longer
suitable for applications and data in cloud. Traditional concerns involve computer and network
intrusions or attacks that will be made possible or at least easier by moving to the cloud. Due to
the openness and multi-tenant characteristic of the cloud, cloud computing is bringing
tremendous impact on information security.

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Chapter 5
CHARACTERISTICS OF CLOUD COMPUTING
Cloud services exhibit five essential characteristics that demonstrate their relation to, and
differences from, traditional computing approaches:
• On-demand self-service - A consumer can unilaterally provision computing capabilities such as
server time and network storage as needed automatically, without requiring human interaction
with a service provider.
• Broad network access - Capabilities are available over the network and accessed through
standard mechanisms that promote use by heterogeneous thin or thick client platforms (e.g.,
mobile phones, laptops, and PDAs) as well as other traditional or cloud based software services.
• Resource pooling - The providers 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. There is a degree of location independence in
that the customer generally has no control or knowledge over the exact location of the provided
resources, but may be able to specify location at a higher level of abstraction (e.g., country, state,
or datacenter).
• Rapid elasticity - Capabilities can be rapidly and elastically provisioned in some cases
automatically to quickly scale out; and rapidly released to quickly scale in. To the consumer, the
capabilities available for provisioning often appear to be unlimited and can be purchased in any
quantity at any time.
• Measured service - Cloud systems automatically control and optimize resource usage by
leveraging a metering capability at some level of abstraction appropriate to the type of service
(e.g., storage, processing, bandwidth, or active user accounts). Resource usage can be
monitored, controlled, and reported providing transparency for both the provider and consumer
of the service.

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Chapter 6
SECURITY CHALLENGES
Cloud computing becomes a successful and popular business model due to its charming
features. In addition to the benefits at hand, the former features also result in serious cloud
specific security issues. The people whose concern is the cloud security continue to hesitate to
transfer their business to cloud. Security issues have been the dominate barrier of the
development and widespread use of cloud computing. Understanding the security and privacy
risks in cloud computing and developing efficient and effective solutions are critical for its
success.
Although clouds allow customers to avoid start-up costs, reduce operating costs, and
increase their agility by immediately acquiring services and infrastructural resources when
needed, their unique architectural features also raise various security and privacy concerns. There
are three main challenges for building a secure and trustworthy cloud system:
• Outsourcing - Outsourcing brings down both capital expenditure (CapEx) and operational
expenditure for cloud customers. However, outsourcing also means that customers physically
lose control on their data and tasks. The loss of control problem has become one of the root
causes of cloud insecu- rity. To address outsourcing security issues, first, the cloud provider shall
be trustworthy by providing trust and secure computing and data storage; second, outsourced data
and computation shall be verifiable to customers in terms of confidentiality, integrity, and other
security services. In addition, outsourcing will potentially incur privacy violations, due to the fact
that classified data is out of the owners control.
• Data service outsourcing security - Cloud computing provides access to data, but the
challenge is to ensure that only authorized entities can gain access to it. When we use cloud
environments, we rely on third parties to make decisions about our data and platforms in ways
never seen before in computing. Its critical to have appropriate mechanisms to prevent cloud
providers from using customers data in a way that hasnt been agreed upon.. Clients need to have
significant trust in their providers technical compe- tence and economic stability.
• Computation outsourcing security - Another fundamental service enabled within the cloud
paradigm is computation outsourcing. By outsourcing workloads to the cloud, users
computational power is no longer limited by their resource-constrained devices. Instead, they can
enjoy the clouds literally unlimited computing resources in a pay-per-use manner without
committing any large capital outlays locally.

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• Multi-tenancy - Multi-tenancy means that the cloud platform is shared and utilized by multiple
customers. Moreover, in a virtualized environment, data belonging to different customers may be
placed on the same physical machine by certain resource allocation policy. Adversaries who may
also be legitimate cloud customers may exploit the co-residence issue.
A series of security issues such as data breach, computation breach, flooding attack etc.,
are incurred. Although Multi-tenancy is a definite choice of cloud venders due to its economic
efficiency, it provides new vulnerabilities to the cloud platform . From a customers perspective,
the notion of using a shared infrastructure could be a huge concern. However, the level of
resource sharing and available protection mechanisms can make a big difference.
For example, to isolate multiple tenants data, Salesforce.com employs a query rewriter at
the database level, whereas Amazon uses hypervisors at the hardware level. Providers must
account for issues such as access policies, application deployment, and data access and protection
to provide a secure, multi-tenant environment.
Multi-tenancy security and privacy is one of the critical challenges for the public cloud,
and finding solutions is pivotal if the cloud is to be widely adopted. However, little work exists
today that not only addresses these problems but also consistently and scalably maintains this
dynamic computing environments scalability.
• Massive data and intense computation
Cloud computing is capable of handling mass data storage and intense computing tasks.
Therefore, traditional security mechanisms may not suffice due to unbearable computation or
communication overhead. For example, to verify the integrity of data that is remotely stored, it
is impractical to hash the entire data set. To this end, new strategies and protocols are expected.

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Chapter 7
NEED FOR SECURITY IN CLOUD
A users dependence on cloud is analogous to a persons dependence on public transportation as it
forces one to trust over which one have no control, limits what one can transport, and subjects us to
rules and schedules that wouldn't apply if one had their own vehicles.
On the other hand, it is so economical that one doesn’t realistically have any alternative.
Users of the cloud aren’t aware about the location of the data and ultimately have to rely on the cloud
service provider for exercising appropriate security measures. Therefore cloud security issue is the
most important and elicited topic among the IT professionals.
Security in cloud computing is of two types:
• Data security It focuses on protecting the software and hardware associated with the cloud. It
deals with choosing an apt location for data centers so as to protect it from internal threats,
different types of weather conditions, fire and even physical attacks that might destroy the center
physically and external threats avoiding unauthorized access and break ins.
• Network security Protecting the network over which cloud is running from various attacks
DOS, DDOS, IP Spoofing, ARP Spoofing and any novel attacks that intruders may device.
Attack on data affects a single user whereas a successful attack on Network has the potential to
affect multiple users. Therefore network security is of foremost importance.

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Chapter 8
SECURITY AND PRIVACY ATTRIBUTES
Five most representative security and privacy attributes are con dentiality, integrity, availability,
accountability, and privacy prereservability, which is shown in figure 5.1. Within the enterprise
boundaries, data transmission usually does not require encryption, or just have a simple data
encryption measure.
For data transmission across enterprise boundaries, both data con dentiality and integrity
should be ensured in order to prevent data from being tapped and tampered with by unauthorized
users. In other words, only the data encryption is not enough. Data integrity is also needed to be
ensured.
Therefore it should ensure that transport protocols provide both confidentiality and integrity.
Confidentiality and integrity of data transmission need to ensure not only between enterprise
storage and cloud storage but also between different cloud storage service.
Threats to these attributes and Defence strategies are discussing below.
Cloud con dentiality
Con dentiality is de ned as the assurance that sensitive information is not disclosed to
unauthorized persons, processes, or Devices. i.e, customers data and computation tasks are to be
kept con dential from both the cloud provider and other customers. Confidentiality remains as
one of the greatest concerns with regards to cloud computing. This is largely due to the fact that
customers outsource their data and computation tasks on cloud servers, which are controlled and
managed by potentially untrustworthy cloud providers.
Cross-Virtual Machine attack via Side Channels - A Cross VM attack exploits the nature of
multi-tenancy, which enables that VMs belonging to different customers may co-reside on the
same physical machine. Timing side-channels as an insidious threat to cloud computing security
due to the fact that:
a) the timing channels pervasively exist and are hard to control due to the nature of massive

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parallelism and shared infrastructure;
b) malicious customers are able to steal information from other ones without leaving a trail or
raising alarms.
Malicious sysAdmin: The Cross-VM attack discusses how others may violate con dentiality
cloud customers that co-residing with the victim, although it is not the only threat. Privileged
sysadmin of the cloud provider can perform attacks by accessing the memory of a customer’s
VMs. For instance, Xenaccess enables a sysadmin to directly access the VM memory at run time
by running a user level process in Domain.
Defence strategies
Approaches to address cross-VM attack fall into six categories: a) placement preven-tion intends to
reduce the success rate of placement; b) physical isolation enforce-ment; c) new cache designs; d)
fuzzy time intends to weaken malicious VMs ability to receive the signal by eliminating ne-grained
timers; e) forced VM determinism ensures no timing or other non-deterministic information leaking
to adversaries; f) cryptographic implementation of timing-resistant cache.
Placement prevention: In order to reduce the risk caused by shared infras-tructure, a few
suggestions to defend the attack in each step are given in . For instance, cloud providers may
obfuscate co-residence by having Dom0 not respond in traceroute, and/or by randomly assigning
internal IP addresses to launched VMs. To reduce the success rate of placement, cloud providers
might let the users decide where to put their VMs; however, this method does not prevent a
brute-force strategy.
Co-residency detection: The ultimate solution of cross-VM attack is to elimi-nate co-residency.
Cloud customers (especially enterprises) may require phys-ical isolation, which can even be
written into the Service Level Agreements (SLAs). However, cloud vendor may be reluctant to
abandon virtualization that is bene cial to cost saving and resource utilization. One of the left
options is to share the infrastructure only with friendly VMs, which are owned by the same
customer or other trustworthy customers.

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To ensure physical isolation, a customer should be enabled to verify its VMs exclusive use of a
physical machine. HomeAlone is a system that detects co-residency by employing a side-channel (in
the L2 memory cache) as a detection tool. The idea is to si-lence the activity of friendly VMs in a
selected portion of L2 cache for a certain amount of time, and then measure the cache usage to check
if there is any unexpected activity, which indicates that the physical machine is co-resided by another
customer.
NoHype: It attempts to minimize the degree of shared infrastructure by re-moving the hypervisor
while still retaining the key features of virtualization. The NoHype architecture provides a few
features:
i) the one core per VM fea-ture prevents interference between VMs, eliminates side channels
such as L1 cache, and retains multi-tenancy, since each chip has multiple cores;
ii) memory partition restricts each VMs memory access on a assigned range; iii) dedicated virtual
I/O devices enables each VM to be granted direct access to a dedicated virtual I/O device.
NoHype has significantly reduced the hypervisor attack surface, and increased the level
of VM isolation. However, NoHype requires to change hardware, making it less practical when
consider applying it to current cloud infrastructures.
Trusted cloud computing platform (TCCP): It o ers a closed box execution
environment for IaaS services. TCCP guarantees con dential execution of guest virtual
machines. It also enables customers to attest to the IaaS provider and to determine if the service
is secure before their VMs are launched into the cloud.
The design goals of TCCP are:
1) to con ne the VM execution inside the secure perimeter;
2) that a sysadmin with root privileges is unable to access the memory of a VM hosted in a
physical node.
TCCP leverages existing techniques to build trusted cloud computing platforms. This
focuses on solving con dentiality problems for clients data and for computation outsourced to
the cloud. With TCCP, the sysadmin is unable to inspect or tamper with the content of running
VMs.

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Chapter 9
CLOUD INTEGRITY
Similar to con dentiality, the notion of integrity in cloud computing concerns both data
integrity and computation integrity. Data integrity implies that data should be honestly stored on
cloud servers, and any violations (e.g., data is lost, altered, or compromised) are to be detected.
Computation integrity implies the notion that programs are executed without being distorted by
malware, cloud providers, or other malicious users, and that any incorrect computing will be
detected.
Threats to cloud integrity:
Data loss/manipulation: In cloud storage, applications deliver storage as a service. Servers keep
large amounts of data that have the capability of being accessed on rare occasions. The cloud
servers are distrusted in terms of both security and reliability , which means that data may be lost
or modified maliciously or accidentally.
Administration errors may cause data loss (e.g., backup and restore, data migration, and
changing memberships in P2P systems). Additionally, adversaries may initiate attacks by taking
advantage of data owners loss of control over their own data.
Dishonest computation in remote servers: With outsourced computation, it is di cult to judge
whether the computation is executed with high integrity. Since the computation details are not
transparent enough to cloud customers, cloud servers may behave unfaithfully and return incorrect
computing results; they may not follow the semi-honest model.
For example, for computations that require large amount of computing resources, there are
incentives for the cloud to be lazy.
Defence strategies
Provable data possession (PDP): The main challenge of integrity checking is that
tremendous amounts of data are remotely stored on untrustworthy cloud servers; as a result,
methods that require hashing for the entire le become prohibitive.

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In addition, it is not feasible to download the le from the server and perform an
integrity check due to the fact that it is computationally expensive as well as bandwidth
consuming. Each of the former notions is not acceptable in cloud environments.
Third party auditor (TPA): Instead of letting customers verify data integrity, it is also possible
to ovoid task of integrity checking to a third party which can be trusted by both cloud provider
and customers. It is propose to adopt a TPA to check the integrity of outsourced data in cloud
environments. TPA ensures the following:
1) cloud data can be efficiently audited without a local data copy, and cloud clients suffered
no online overhead for auditing;
2) no new vulnerabilities will be introduced to jeopardize data privacy.
The key technique is a public based homomorphic authenticator, which has been utilized
in existing literatures . When combining a homomorphic authenticator with random masking,
TPA becomes unable to access the data content while it is performing auditing.
Trusted computing enforces the computer to behave consistently in expected ways
with hardware and software support. The key technique of integrity checking is known as
remote attestation, which works by having the hardware generate a certificate stating that what
software is running.
The certificate can then be sent to the verifier to show that the software is unaltered.
One assumption of trusted computing is that some component like the hardware and the
hypervisor is not physically altered.

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Chapter 10
CLOUD AVAILABILITY
Availability is crucial since the core function of cloud computing is to provide on-demand
service of different levels. If a certain service is no longer available or the quality of service
cannot meet the Service Level Agreement (SLA), customers may lose faith in the cloud system.
In this section, we have studied two kinds of threats that impair cloud availability.
Threats to cloud availability
Flooding attack via bandwidth starvation: In avoiding attack, which can cause Deny of Service
(DOS), a huge amount of nonsensical requests are sent to a particular service to hinder it from
working properly. In cloud computing, there are two basic types of coding attacks:
Direct DOS the attacking target is determined, and the availability of the targeting cloud service
will be fully lost.
Indirect DOS the meaning is twofold: 1) all services hosted in the same physical machine with
the target victim will be affected; 2) the attack is initiated without a specific target.
Fraudulent Resource Consumption (FRC) attack: A representative Economic Denial of
Sustainability (EDoS) attack is FRC, which is a subtle attack that may be carried out over a long
period (usually lasts for weeks) in order to take effect.
In cloud computing, the goal of a FRC attack is to deprive the victim (i.e., regular cloud
customers) of their long-term economic availability of hosting web contents that are publicly
accessible. In other words, attackers, who act as legal cloud service clients, continuously send
requests to website hosting in cloud servers to consume bandwidth, which bills to the cloud
customer owning the website;
Seems to the web server, those traffic does not reach the level of service denial, and it
is difficult to distinguish FRC traffic from other legitimate traffc. A FRC attack succeeds when
it causes financial burden on the victim.

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Chapter 11
CLOUD ACCOUNTABILITY
Accountability implies that the capability of identifying a party, with undeniable evidence, is
responsible for specific events. When dealing with cloud computing, there are multiple parties
that may be involved; a cloud provider and its customers are the two basic ones, and the public
clients who use applications (e.g., a web application) outsourced by cloud customers may be
another party. A ne-grained identity, however, may be employed to identify a specific machine or
even the faulty/ malicious program that is responsible.
Threats to Cloud accountability
SLA violation: the loss of data control is problematic when something goes awry. For instance,
the following problems may possibly arise:
1) The machines in the cloud can be misconfigured or defective and can consequently corrupt the
customers data or cause his computation to return incorrect results;
2) The cloud provider can accidentally allocate insu cient resources for the customer, an act
which can degrade the performance of the customers services and then violate the SLA;
3) An attacker can embed a bug into the customers software in order to steal valuable data or to
take over the customers machines for spamming or DOS attacks;
4) The customer may not have access to his data either because the cloud loses it or simply
because the data is unavailable at an inconvenient time.
Accountable virtual machine (AVM): The intent of AVM is to enable users to audit the
software execution on remote machines. AVM is able to 1) detect faults, 2) identify faulty node,
3) provides veri able evidence of a particular fault and point to the responsible party. AVM is
applicable to cloud computing in which customers outsource their data and software on distrusted
cloud servers. AVM allows cloud users to verify the correctness of their code in the cloud
system. The approach is to wrap any running software in a virtual ma-chine, which keeps a
tamper-evident log to record the entire execution of the software.

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Collaborative monitoring: A solution that is similar to AVM was developed by maintaining an
external state machine whose job is to validate the correctness of the data and the execution of
business logic in a multi-tenancy environment.
The authors in de ne the service endpoint as the interface through which the cloud services
are delivered to its end users. It is assumed that the data may only be accessed through endpoints that
are specified according to the SLA between the cloud provider and the users.
The basic idea is to wrap each endpoint with an adapter that is able to capture the input/output
of the end-point and record all the operations performed through the endpoint. The log is
subsequently sent to the external state machine for authentication purposes.
Accountable Map Reduce (AMR): This problem has been addressed with Secure MR, which
adopts full task duplication to double check the processing result. Secure MR requires that twice two
di erent machines, which will double the total processing time, execute a task. Additionally, Secure
MR su ers false positive when an identical faulty program processes the duplicated tasks.
Secure provenance: Secure provenance is introduced with an aim to ensure that verifiable
evidence might be provided to trace the real data owner and the records of data modification. Secure
provenance is essential to improve data forensic and accountability in cloud systems. Considering a le
stored in cloud, when there is dispute on that le, the cloud can provide all provenance information
with the ability to plot all versions of the le and the users that modified it. With this information, a
specific user identity can be tracked.

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Chapter 12
CLOUD PRIVACY PRESERVEABILITY
Privacy is yet another critical concern with regards to cloud computing due to the fact that customers data
and business logic reside among distrusted cloud servers, which are owned and maintained by the cloud
provider. Therefore, there are potential risks that the con dential data (e.g. financial data, health record) or
personal information (e.g., personal pro le) is disclosed to public or business competitors. Privacy has
been an issue of the highest priority.
Throughout this text, we regard privacy- preservability as the core attribute of privacy. A few
security attributes directly or indirectly in uence privacy preservability, including con dentiality, integrity,
accountability, etc. Evidently, in order to keep private data from being disclosed, con dentiality becomes
indispensable, and integrity ensures that data/computation is not corrupted, which somehow preserves
privacy. Accountability, on the contrary, may undermine.
Threats to cloud privacy
In some sense, privacy preservability is a stricter form of con dentiality, due to the notion that
they both prevent information leakage. Therefore, if cloud con dentiality is ever violated, privacy
preservability will also be violated. Similar to other security services, the meaning of cloud
privacy is two fold: data privacy and computation privacy.
Defence strategies
The privacy-preserving classified into three categories, which are shown in Table 5.1. It is
proposed that Fully Homomorphic Encryption (FHE) to preserve privacy in cloud computing.
FHE enables computation on encrypted data, which is stored in the distrusted servers of the cloud
provider. Data may be processed without decryption.
The cloud servers have little to no knowledge concerning the input data, the processing function,
the result, and any intermediate result values. Therefore, the outsourced computation occurs
under the covers in a fully privacy-preserving way. FHE has become a powerful tool to enforce
privacy preserving in cloud computing. However, all known FHE schemes are too inefficient for
use in practice. While researchers are trying to reduce the complexity of FHE, it is worthwhile to
consider alleviating the power of FHE to regain efficiency.

Page 24
CONCLUSION
Every new technology has its pros and cons, similar is the case with cloud computing.
Although cloud computing provides easy data storage and access. But there are several issues
related to storing and managing data, that is not controlled by owner of the data.
This paper discussed security issues for cloud. These issues include cloud integrity, cloud con
dentiality, cloud availability, cloud privacy.
There are several threats to cloud con dentiality including cross-VM attack and Malicious
sysadmin.
On the other hand integrity of cloud is compromised due to data loss and dishonest computation
in remote servers. Denial of Service attack (Dos) is the most common attack which is also
possible in cloud computing network.
This attack attempts to prevent the data available to its intended users. The last issue is
cloud privacy and it is similar to cloud con dentiality. if cloud con dentiality is at risk, cloud
privacy will also be at risk.

Page 25
REFERENCE
[1] C. Wang, Q, Wan, K. Refind Wenjing Lou, ”Privacy-Preserving Public Auditing for
Data Storage Security in Cloud Computing”, Infocom, Proceedings IEEE, 2010,
pp.1-9.
[ 2] D. Chen and H. Zhao, ”Data Security and Privacy Protection Issues in Cloud Computing”,
in International Conference on Computer Science and Electronics Engineer- ing(ICCSEE),
2012, vol.1, pp.647-651.
[3] H. Takabi, J. B. D. Joshi and G. J. Ahn, ”Security and Privacy Challenges in Cloud
Computing Environments” , Security and Privacy, IEEE, vol.8 , no.6, pp.24-31, Nov/Dec
2010.
[ [4] K. Ren, C. Wang and Q. Wang, ”Security Challenges for the Public Cloud”, Internet
Computing, IEEE , vol.16, no.1, pp.69-73, Jan/Feb 2012.
[5] Z. Xiao and Y. Xiao, ”Security and Privacy in Cloud Computing ”,IEEE Commun.
Surveys and Tutorials, vol. 15, no.2, pp.843 - 859, Second quarter 2013.
[ 6] Cloud Security Alliance (CSA). Security Guidance for Critical Areas of Focus in Cloud
Computing V2.1, (Released December 17, 2009).
( http://www.cloudsecurityalliance.org/guidance/csaguide.v2.1.pdf. Accessed Jan. 13, 2011.)

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