5.[25 33]survey on 2-step security for authentication in m-banking

Control Theory and Informatics www.iiste.org
ISSN 2224-5774 (print) ISSN 2225-0492 (online)
Vol 1, No.1, 2011

Survey on 2-Step Security for Authentication in M-Banking
Salve Anup (Corresponding Author)
Department of Computer Engineering,
AISSMS College of Engineering, Pune -411001
University of Pune, India
Tel: +91-9689950004 E-mail: sanupsalve@gmail.com

Kashid Suraj
AISSMS College of Engineering, Pune -411001, University of Pune, India
Tel: +91-9762309579 E-mail: surajiphone@gmail.com

Patil Rahul
AISSMS College of Engineering, Pune -411001, University of Pune, India
Tel: +91-9579578784 E-mail: patilrahul.sangli@gmail.com

Dhamane Harshad
AISSMS College of Engineering, Pune -411001 University of Pune, India
Tel: +91-8793111782 E-mail:hdhamane@gmail.com

Abstract
Technologies drive the need in every sector and enterprise needs to understand changing need of customer.
Financial sector has also no exception. In order to satisfy financial need for customer banks are taking help of
new technology such as internet. It is called as e-banking. But problem remain over e-banking is security.
Over the e-banking, the potential use of mobile devices in financial applications such as banking and stock
trading has seen a rapid increase. The aim of this work is to provide a secure environment in terms of security
for transaction by various ways. In this paper we focus on 2-step security for authentication. For this system we
use m-banking. Propose the use of “steganography” as means to improve the communication channel. Task of
enhancing security include construction of formula for both data encryption and for hiding pattern and also
provide system based on biometric information. i.e., face recognition.
Keywords: decryption, encryption, face recognition, security, steganography

1. Introduction
The Internet is an integral part of our daily lives, and the proportion of people who expect to be able to manage
their bank accounts anywhere, anytime is constantly growing. As such, Internet banking has come of age as a
crucial component of any financial institution’s multichannel strategy. Internet banking is vast, which is why
this type of banking is becoming more and more popular in recent years. Convenience is the one advantage that
most people will list first when online banking is mentioned. Not having to go to the bank and wait in line is
something that appeals to most banking customers. Other advantage of online banking is the automatic payment
of bills; internet banking is to have paycheck automatically deposited into our account.
But, the biggest disadvantage of internet banking is security. Customer should be sure that he has a secure
connection that is protected before you attempt to bank online. To overcome the drawback of internet banking
and security issue new technology is developed known as mobile banking or M-Banking. In the e-Banking the
client need the computer machine and internet connection. Some rural areas are not aware of internet. And it is
also not possible to everyone to use the internet. To overcome the drawback of e-Banking the new concept of m-

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Banking is introduce. The importance of improving M-Banking is beneficial to both the customer and the bank.
Mobile banking gives opportunity to everybody for easy banking activities sustainably increasing the interaction
between user and bank. It has enabled to increase financial access for in rural areas and paved the way for
integrating rural people into the mainstream financial system.
Mobile Banking basic Functionality Offered:
I. Account Information
(a) Balance Overview
(b) Account Details
(c) Transaction History
(d) Account Statements
II. Transfers
(a) Transfer Between Own Accounts
(b) Transfer to same Bank Accounts
(c) Transfer to Other Bank Clients
III. Cards
(a) Card Details
(b) Card Statements
(c) Card Payments
IV. Payments
(a) Utility Payments
(b) Bill Payments
(c) Government Payments
(d) Group and Payroll Payments
(e) Mobile top-ups
However, the amount of transaction money through mobile banking has led to attract criminal attention.
Security concerns are important for customers and banks. Finding from studies in e-Banking also have
application in the wider field off transaction security for e-Commerce activities. Bank log-in security has to be
strong and supervised as banks are integral part of the defense against money laundering [1].
The main reason that Mobile Banking scores over Internet Banking is that it enables “Anywhere, Anytime
Banking”. Customer do not need to access computer terminal to access bank account. Now customer can access
his bank account anytime, anywhere such as waiting for bus to work, travelling or when waiting for orders to
come through in a restaurant.
Serious operational risks and potential liabilities are associated with security breaches in the transfer of fund
over the Internet. Concern about security has led to major barrier for mobile banking adoption by several banks
[1].
Authentication problems issues are related to the transfer of information over the insecure communication
channel as shown in Fig. 1.

Insecure Information Exchange

Fig. 1 Insecure Communication channel

Confidential data like password are broken by malicious code. Phishing spoof web page imitating of the user’s
online bank is designed and used to encourage the user to enter bank details in this fake page. The data entered
is cyber crooks.
Recent increases in online fraud have encouraged banks to think about some different multiple factor solutions
for their authentication procedure [1]
In this paper we focus on 2-step security for authentication process using mobile banking for transaction
purpose.
Here we make use of different formula i.e., for steganography, for encryption and for session/request id. Only
single key is sent along with image used in steganography (cover image) and all formulae in interdependent

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manner. Key is variable i.e., changed every time and transferred in coded format in stego image. So that it
becomes very difficult to get data even if key is found.
In the second step of authentication, we use biometric information. In the biometric information we use face
recognition system. In face recognition, image is capture on client and send to server database for validation.

2. Risk associated with e-Banking
I. Interest Rate Risk: Internet rate risk is the risk to earnings or capital arising from movements in interest
rates. Interest rate risk arises from different between the timing of rate changes and timing of cash flows.
II. Credit Risk: Credit risk is the risk to earnings or capital arising from an obligator's failure to meet the terms
of any contract with the bank or otherwise to perform as agreed
III. Price Risk: Price risk is the risk to earnings or capital arising from changes in the value of traded collection
of financial instruments.
IV. Foreign Exchange Risk: Foreign Exchange risk is present when a loan or portfolio of loans is dominated in
a foreign currency or is funded by borrowings in another currency.

M-Banking Security measures
I. Debit and Credit cards coupled to a specific phone number of consumer for supplementary transaction
security.
II. Transfer channel of SMS can be used with encryption by mobile payment applications to defend data
integrity and security.
III. Accomplishment of secure PIN for transactions for fund transfer.

3. Designed System
Our designed system is 2-step authentication process. In the first step of authentication we use steganography
and at second step we use biometric information to enhance security over insecure channel.
In steganography technique, we hide the user ID and password of client in particular image. We send this image
to server for verification.
Biometric information is of two types. In physlogical information it contain face, hand, Iris, DNA, finger print
etc while in Behavioral information it contain voice, keystroke, signature etc.
Biometric characteristics such as universality, distinctiveness, collect ability, permanence, performance,
acceptability, circumvention cannot be lost or forgotten and are very difficult to copy, share and distribute. For
authentication purpose using biometric information person physically present as in real life. This kind of
security can enable clients to use their bank ID and biometric to log the bank server remotely to access their
account [1].

3.1 Authentication Process
The following fig shows the general authentication procedure in designed technique:

The detailed authentication process is as follows:
I. Registration Phase
By client’s mobile the registration phase can be performed remotely or personally. At registration following
steps are performed.
(a) In the first step, the client is also given an e-ID as well as password for processing through his identity. This
is first level of authentication.
(b) In the second step, the biometric data i.e., face image is captured, preprocessed and features are extracted.
The featured templates are formed and stored as enrolled templates. These saved templates are referred
during verification phase. This is second level of authentication.

II. Login Phase

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At the login time in bank account he is required to enter his e-ID and password.
The server performs the following preliminary steps:
(a) Checks T is the current time stamp of the user’s machine.
(b) Verifies initial login details i.e. the ID and password.
(c) If the prior information entered is correct, the user is redirected to the biometrics authentication page and
the user is asked to start image transmission through the mobile.

III. Transmission Phase
This phase takes care of the transmitting information through the internet as we have no control over the
insecure channel.
(a) In order to avoid the interruption of hackers and intruders we propose to hide the text data into some
images related to normal life or otherwise which when encountered by the hacker can be ignored and
transmission can be preceded safely.
(b) Even if the transmitting data is suspected by the hacker he cannot extract the secret data.

IV. Verification Phase
Upon receiving the login information and the stego file, the authentication server performs the following steps:
(a) The server applies the reverse of the embedding secret data procedure to recover the biometric information
from the stego file.
(b) Checks the validity of time stamp with the current date and time T 'and T . The server rejects the login
request of the user otherwise accepts the request. Here T denotes the expected valid time interval for
transmission delay and T ' denotes the receiving timestamp of login attempt by the user.
(c) Once the biometrics is successfully derived from the stego file, the face recognition takes places as
discussed in section 3.4 and the suitable candidate is matched from the database.
(d) Computes T '' and s T from the MAC sent from the server for confirmation. If T then the user rejects this
message otherwise calculates the MAC hash function using his private key.
After receiving the response message from server user compares the two hash values calculated from MAC and
the original value. If the two are equal the server gets authenticated otherwise the operation is terminated.

V. Data Transfer
The data can be transfer once the user is authenticated then the users are allowed to transfer the data.

3.2 Data Encryption and error checking
I. Encryption and Decryption
A process of translating a message, called the Plaintext, into an encoded message is called encryption. It helps to
protect the original data from unauthorized access.
Decryption is process of translating encoded message back to plain text.
Before embedding the data into image using steganography technique, data is first encrypted either by using
simple technique like 0 converted to 1 or any standard algorithm. Such encrypted data is then used for
steganography.

II. Error checking
Error checking means checking consistency of data in image after receiving by receiver. Because, if random
changes are made in the image then resultant extracted data from image may get changed.
This can be achieved by carious ways. We can make use of simple techniques such as parity code or any other
standard techniques. Data which is required for error checking should also be added to image along with

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original data [2].

3.3 Steganography
Steganography is the practice of hiding private or sensitive information within something that appears to be
nothing out of the usual. Steganography would provide an ultimate guarantee of authentication that no other
security tool may ensure. Now days there are many forms of steganography that use many different mediums to
transmit hidden information. Steganography can use essentially any other form of media to transmit a hidden
message, though techniques vary from cover type to cover type.
Steganography was around long before computers were invented. As long as people have desired to
communicate in secret; steganography has been there, allowing them to at least attempt to do so. The term
"Steganography" dates back to 440 BC and derives from a Greek word meaning "covered or hidden writing."
This word was used to refer to practices of leaders hiding messages sent to other leaders.
Steganography came to what is now the United States as early as the Revolutionary War, during which it took
the form of secret message drops, code words, and invisible inks used for communications between General
George Washington and a group of spies It continued in use through additional wars, including World War I and
II. Following the tragedy of September 11, 2001, investigations revealed that Al'Queda terrorists may have
transmitted images containing hidden messages via Usenet. Evidence exists primarily in the form of Islamic
extremist websites that provide information on how to embed data in images. Though the use of steganography
in planning 9/11 was not confirmed, the possibility of its use sparked new interest in steganography, and led to
further research into its use and its prevention [3].

Implementing steganography
Steganography literally means "covered writing." Steganography has been used throughout history for secret
communications. Instead of making use of some previous techniques of steganography, such as LSB method
which are easy to detect, it uses two mathematical formulae. To make use of steganography appropriate image
format should be selected such as loss less image formats.
The general overview of steganography technique is shown in Fig 4.
Cover serves as medium to hide the message being sent. Making use of graphical images as cover solve many
problems readily such as large availability of images, various formats of images and variation in size of image.

Fig. 2 Steganography and Steganalysis

Both server and end user application will communicate only by sending the cover image and then extracting
data from it [2].
Here we make use on two mathematical formulae. First formula will generate series of pixel number in which
data will hide. Second formula will generate the bit number for ‘n’ bit pixel in which one bit of data will hide.
Using these formulae data will be randomly distributed in image instead of sequential and data hiding bit is also
changed every time. Using custom images created by the owner (in this case bank) will help to avoid the
comparison of the image.

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Before Data Hiding After Data Hiding
From these results, we see that the image appear completely unaltered to the naked eye, and are statistically
quite similar as well, making it very difficult for either a human with both images or a computer with only one
image to detect something amiss.
The beauty of randomly generated images is that a user can continue to generate images until one is found with
satisfactory statistics or looks, and this often takes only a few iteration to accomplish [3].

3.4 Face recognition
Face recognition has received considerable interest as a widely accepted biometric, because of the ease of
collecting samples of a person, with or without subject’s intension. Face recognition refers to an automated or
semi automated process of matching facial images. This type of technology constitutes a wide group of
technologies which all work with face but use different scanning techniques. Most common by far is 2D face
recognition which is easier and less expensive compared to the other approaches [4].
There are four steps in face recognition as given below:
I. Acquiring a sample: In a complete, full implemented biometric system, a sensor takes an observation. The
sensor might be a mobile camera. In our system, 2D face picture will be supplied manually to server.
II. Extracting Features: For this step, the relevant data is extracted from the predefined captured sample. The
outcome of this step is a biometric template which is a reduced set of data that represents the unique
features of the enrolled user's face.
III. Comparison Templates: For identification purposes, this step will be a comparison between a given image
for the subject and all the biometric templates stored on a server database. For verification, the biometric
template of the claimed identity will be retrieved (either from a database or a storage medium presented by
the subject) and this will be compared to a given image.
IV. Declaring a Match: The face recognition system will return a client match from image database server
match.
Faces in the test images taken using the DROID phone can be of different sizes. Correlating with a standard
template size didn’t give good results. So, we correlated the image with templates of different sizes (scale
ratios from .6 to 1.8) and compared the correlation values. This technique worked well in detecting faces of
different sizes.

Fig.3 Face Recognition

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For the face recognition technique we use most popular Eigenvector algorithm.
In face recognition security srep if any fake request is send to server from Android application, server will easily
detect the fake request. It shows the error message and does not allow the transaction to hacker.

Fig. 4 Result of the Face Recognition application for Android. (a) Client correctly recognized, (b) Client
correctly rejected [5]

3.5 Custom session ID and request ID
In computer science, a session identifier, session ID or session token is a piece of data that is used in network
communications (often over HTTP) to identify a session, a series of related message exchanges. Session
identifiers become necessary in cases where the communications infrastructure uses a stateless protocol such as
HTTP.
The request information object contains all request-local information and server as the vessel for most forms of
intercommunication. A Request ID object is born when an incoming request is encountered, and its life
expectancy is short, as it dies again when the request has passed through all levels of the module type calling
sequence.

I. Session ID
A session token is a unique identifier, usually in the form of a hash generated by a hash function that is
generated and sent from a server to a client to identify the current interaction session. The client usually stores
and sends the token as an HTTP cookie and/or sends it as a parameter in GET or POST queries. Session id will
be constant throughout one session. Server will identify the authorized application’s session using session id.

II. Request ID
To communicate with server every message hidden in image should have request id. This id will not be
sequential fashion instead it will also be generated by formula. We know that key used in this process is variable
i.e. changed every time for every message. So the formula for request id will generate id using key for previous
transaction.
At server, if session id found valid then request id is checked. If any request with incorrect request id will not be
processed. As request id is not sequential next id will not be after equal interval but interval depends
indirectly on key. This avoids the fake request to server [2].

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Fig.5 General Overview of Session ID and Request ID

Architectural Model:

Authentication Step-1
Steganography Using
Random Bit Technique Generate Request Id and Session Id Extract Text

Decrypt Text
Encrypt

Validate Session
Apply Steganography Using Random
Bit Technique

Activates Camera on Client Side
Authentication Step-2
Face Recognition

Takes snapshot of user and sends
on Server

Convert Image to face and match it
with server database

Fig. 6 Designed 2-step Authentication model

4. Implementation
For implementation of proposed system there must be some requirements are as follows
I. Mobile device of client must be GPRS/Wi-Fi enabled and camera.
II. User must have basic knowledge of internet and mobile.
III. Client server application is needed for successful realization of communication between the customer and
bank.
IV. Bank must provide necessary software to client for authentication and transaction process.
V. Speed of the GPR/Wi-Fi data transfer may vary depending on mobile server.

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VI. There could not be mobile network problem on client side.

5. Benefits of m-Banking
I. Practical and straightforward alerting services.
II. Low Cost: No additional hardware to buy. Can be deployed on a large scale at a fraction of the cost of
traditional authentication solutions.
III. High Security: Unlike our competitors, DIGIPASS for Mobile supports multiple synchronization methods
(time-based algorithms in addition to event-based algorithms). Authentication credentials automatically
expire either after a configurable time-out or immediately after initial use.
IV. High User Acceptance: End-users will enjoy the freedom of secure banking—anywhere, anytime while
conveniently using their very own mobile device.
V. Fully-Customizable User Interface: Banks can fully customize the interface with their own unique branding
scheme (menus, messages, icons, logos, fonts, colors).
VI. Password is not exchanged between the server and the mobile. Therefore there is no risk of exposure of
user password.
VII. Response time and speed of bank’s server increases.
VIII. It is difficult to detect password by intruder because password is stored in any particular Image

6. Conclusion
In this paper, we have surveyed drawbacks of some of the existing system for authentication. To overcome this
drawback we proposed 2-level authentication process based on biometric information and Steganographic
approach which improves all identified drawbacks and provide more security for real life.

REFERENCES
Dushyant Goya1 and Shiuh-Jeng Wang (2010), “Steganographic Authentications in conjunction with Face and
Voice Recognition for Mobile Systems”, High Performance Computing Conference, India
http://www.hipc.org/hipc2010/HIPCSS10/1569358847.pdf
Geeta S. Navale, Swati S. Joshi and Aaradhana A Deshmukh (2010),” M-Banking Security – a futuristic
improved security approach”, IJCSI International Journal of Computer Science Issues, Vol. 7, Issue 1,
No. 2
www.ijcsi.org/papers/7-1-2-68-71.pdf
Jessica Codr (2009)” Unseen: An Overview of Steganography and Presentation of Associated Java
Application C-Hide”, Washington University in St.Louis, Department of Computer Science & Engineering,
Bryan Hall, Campus Box 1045, One Brookings Drive, St. Louis, Missouri 63130
http://www.cse.wustl.edu/~jain/cse571-09/ftp/stegano/index.html
Noor AlSheala and Hasan AlOdail (2011),” Face Recognition System”, KING FAHAD UNIVERSITY OF
PETROLEUM AND MINERALS, College of Computer Science and Engineering ICS411 Senior Project Term
082.
http://student.kfupm.edu.sa/s200352870/doc/faceFinal.pdf
Guillaume Dave, Xing Chao and Kishore Sriadibhatla (2010),” Face Recognition in Mobile Phones”,
Department of Electrical Engineering Stanford University Stanford, USA
http://www.stanford.edu/class/ee368/Project_10/Reports/Sriadibhatla_Davo_Chao_FaceRecognition.pdf

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5.[25 33]survey on 2-step security for authentication in m-banking

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