STM JOURNALSScientific Technical Medical

(JoNS)

Network Security

Journal of

(Jan - April 2014)

ISSN 2321 – 8517

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Journal of Network Security

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(ISSN: 2321-8517)

?Internet, Network and Wireless Network Security& Applications

?Mobile, Sensor Network, Database and System Security

?Virus, worms, Trojan Protection, E-mail security, Spam, Phishing and E-mail fraud

?Security threats & countermeasures (DDoS, MiM, Session Hijacking, Replay attack etc,)

?Cryptographic protocols

? Intrusion Detection and Prevention

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Industrial Tribology Machine Dynamics & Maintenance

Engineering Centre (ITMMEC)

Indian Institute of Technology Delhi, India

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Alternative Energy Technology Laboratory,

Department of Physics,

Indian Institute of Technology, Chennai, India

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Varanasi, India

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Applied Chemistry, BIT Mesra,

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STM Journal (s) Advisory Board

Dr. Ashish RunthalaLecturer, Biological Sciences Group,

Birla Institute of Technology & Science, Pilani Rajasthan, India.

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(ICGAR)Kalpakkam, India.

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of Civil Engineering National Institute of Technology Trichy, India.

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Medicine, Maulana Azad Medical College, New Delhi, India.

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Pune, India.

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University, Baru Sahib, India.

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National Brain Research Centre, Manesar, India.

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Pathology, KLE Society's Institute of Dental Sciences, Bangalore, India.

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Indian Institute of Technology Madras, India.

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Nurture Earth R&D Pvt LtdMIT Campus, Beed bypass road,

Aurangabad, India.

Dr. Rakesh KumarAssistant Professor,

Department of Applied Chemistry, BIT Mesra, Patna, India.

Dr. Priyavrat TharejaHead, Materials and Metallurgical

Engineering department, PEC University of Technology,

Chandigarh, India.

STM Journal (s) Advisory Board

Editorial Board

Dr. Divakar Singh YadavDept. of Computer Science & Engineering,

Institute of Engineering and Technology UP Technical University, Lucknow, India

Maj. Gen Anil kumar Jain Amity University, India

Dr. Mark BurginDept. of Mathematics, UCLA, Los Angeles,

CA 90095, USA, United States

Yaduvir SinghDepartment of Electrical and Instrumentation Engineering,

Thapar University, Patiala Punjab, India

Dr. Gunamani JenaME CSE, PhD, FIE, MIEEE,

LMISTE, MCSI, India

Senthil Kumar A.V.Hindusthan College of Arts

and Science, Coimbatore, India

Dr. Adesh Kumar SharmaNational Dairy Research Institute

(Deemed University), Indian Council of Agriculture, Haryana, India

Prof. Prasanta K. JanaIndian School of Mines, Dhanbad

Dr. B.L. ShivakumarAssoc. Prof., Dept. of Computer Applications,

Sri Ramakrishna Engineering College, NGGO Colony Post, Coimbatore, India

I take the privilege to present the hard copy compilation for the [Volume 2 Issue (1)] Journal of

Network Security (JoNS). The intension of JoNS is to create an atmosphere that stimulates

creativeness, research and growth in the area of Network Security .

The development and growth of the mankind is the consequence of brilliant Research done by

eminent Scientists and Engineers in every field. JoNS provides an outlet for Research findings and

reviews in areas of Network Security found to be relevant for National and International recent

developments & research initiative.

The aim and scope of the Journal is to provide an academic medium and an important reference for

the advancement and dissemination of Research results that support high level learning, teaching and

research in the domain of Network Security .

Finally, I express my sincere gratitude and thanks to our Editorial/ Reviewer board and Authors for

their continued support and invaluable contributions and suggestions in the form of authoring write-

ups/ reviewing and providing constructive comments for the advancement of the journals. With

regards to their due continuous support and co-operation, we have been able to publish quality

Research/Review findings for our customers base.

I hope you will enjoy reading this issue and we welcome your feedback on any aspect of the Journal.

Dr. Archana Mehrotra

Director

STM Journals

Director's Desk

STM JOURNALS

1. An Approach to Develop Secure Ear Biometric System Md. Rabiul Islam, Md. Mostafizur Rahman, Rizoan Toufiq 1

2. Behavioral Prediction of Network Attacks Using Honeypot Rules Saranya K 7

3. Detection of Distributed Denial of Service Attack by Hidden Markov Model through Web Proxy System A. Aafreen, Kannan Balasubramanian 13

4. Performance Analysis of AODV, DSR and CGSR Routing Protocol in MANET based on Energy Consumption Priyanka Bansal, Jawahar Thakur 21

5. Prediction of Phishing Website using Visual Cryptography P. Suryaprabha, A. Anny Leema 28

ContentsJournal of Network Security

JoNS (2014)© STM Journals 2014. All Rights Reserved

Journal of Network Security ISSN: 2321-8517

Volume 2, Issue 1

www.stmjournals.com

An Approach to Develop Secure Ear Biometric System

Md. Rabiul Islam*, Md. Mostafizur Rahman, Rizoan Toufiq Department of Computer Science & Engineering, Rajshahi University of Engineering and

Technology, Rajshahi, Bangladesh

Abstract Biometrics is now the significant identification process for security system. The future

of biometrics is surely leads to a system because the acquisition process for biometrics

is very simple. Ear biometrics has an important role on biometrics system. Because it is a passive biometrics system which means that the user does not have to take active part

in the whole process. The most interesting human anatomical parts for such passive,

physiological biometrics systems based on images acquired from cameras are face and ear. This paper introduces to ear biometrics as a passive human identification systems.

Using two different methods and comparison between them help anyone to find the best

ear biometrics method. Geometrical method of feature extraction from human ear

images in order to perform human identification is presented with the help of two

different edge detection algorithms.

Keywords: Biometrics, ear identification, passive biometrics, geometrical method

JoNS (2014) STM Journals 2014. All Rights Reserved

Journal of Network Security ISSN: 2321-8517

Volume 2, Issue 1

www.stmjournals.com

Behavioral Prediction of Network Attacks

Using Honeypot Rules

Saranya K* B. S. Abdur Rahman University, Vandlur, Chennai, India

Abstract In this paper is presented an approach for behavioral prediction of network attacks using

honeypot rules using support physical machine as a classification technique. The

proposed honeypot is used to trap delay and gather information about the attackers. These systems are centralized at a strategic point in the network and collect data into a

log file that is subsequently analyzed as main vulnerability. Honeypots can generate the signature with the help of attack classifier, and it can detect and record known and

unknown attacks in addition. Signature-based classifier uses Bayesian classification

algorithm to represent malicious file or normal file. Therefore, the IP addresses correspond to higher chances for detecting intruders as more fake systems would be

mined in the network.

Keywords: Honeypot, attacks defined, signature generation, malicious, non-

malicious, IP blacklisting

JoNS (2014) 13-20 © STM Journals 2014. All Rights Reserved Page 13

Journal of Network Security ISSN: 2321-8517

Volume 2, Issue 1

www.stmjournals.com

Detection of Distributed Denial of Service Attack by

Hidden Markov Model through Web Proxy System

A. Aafreen*, Kannan Balasubramanian Mepco Schlenk Engineering College, Mepco Schlenk Engineering College, Sivakasi,

Tamilnadu, India

Abstract Nowadays the attack against the computer system is becoming very common and vulnerable. Indirect web proxy distributed denial of service attack is an increasingly

common internet phenomenon and is capable of making the internet services unavailable.

Such type of attacks cannot be easily discovered by most existing defense systems since malicious traffic is hidden in the aggregated traffic. Also the source of the attack traffic

and normal traffic cannot be distinguished because both of them share the same IP of the

proxy server. To overcome this problem, a new improved hidden semi-Markov model is proposed. Therefore, applying this proposed method protects the origin server from the

web proxy-based HTTP attacks. Web proxy’s access behavior can be regarded as the combination of the externally observable behavior and the internal driving mechanism.

The internal driving mechanism can be estimated by the observable features of proxy-to-

server traffic through the hidden semi-Markov model. Hidden semi-Markov model describes the dynamic behavior process of the aggregated traffic. The false positive rate

is also detected with respect to the incoming traffic.

Keywords: Traffic analysis, traffic modeling, distributed denial of service attack,

attack detection, attack response

JoNS (2014)© STM Journals 2014. All Rights Reserved

Journal of Network Security ISSN: 2321-8517

Volume 2, Issue 1

www.stmjournals.com

Performance Analysis of AODV, DSR and CGSR

Routing Protocol in MANET based on

Energy Consumption

Priyanka Bansal*, Jawahar Thakur Department of Computer Science, HPU Shimla, India

Abstract

Mobile Ad-hoc networks (MANET) have gained lots of attention in researches in recent

years, especially in routing protocols due to their dynamic nature. There are number of

routing protocols in MANET networks and performance of these routing protocols have been evaluated focusing on metrics such as delay, packet delivery, routing

overhead, throughput. However, not much work has been done to evaluate energy aspect of these routing protocols. Design new energy efficient routing algorithms are

based on this basic MANET routing protocols is the latest research area in MANET

and WSN. This paper will discuss the performance analysis of Dynamic Source Routing (DSR),Ad-hoc On-Demand Distance Vector(AODV) and Cluster-Gate routing

protocol(CGSR) routing protocol in MANET based on energy consumption. A detailed simulation model using OMNeT++4.3 with different mobility and traffic models are

used to study their energy consumption. Finally, an evaluation of these routing

protocols based on energy consumption is presented.

Keywords: Mobile Ad hoc network (MANET), routing protocols, energy

consumption, AODV, DSR, CGSR

JoNS (2014) © STM Journals 2014. All Rights Reserved

Journal of Network Security ISSN: 2321-8517

Volume 2, Issue 1

www.stmjournals.com

Prediction of Phishing Website using Visual Cryptography

P. Suryaprabha*, A. Anny Leema BS Abdur Rahman University, Chennai, India

Abstract Phishing is a new type of social network attack. It is the act of attempting to acquire the information such as username, password, credit card details, etc. In this project, a new

approach named as “Image Captcha Based Authentication Using Visual Cryptography”

to solve the problem of phishing is proposed. The string is converted into image captcha using the extracting and embedding method. The visual cryptography is used to preserve

the privacy of image captcha by decomposing the original image captcha into two shares

using VCS (2*2). One of the shares is kept with the user and the other is kept in the server side. The user has to enter the user name and upload his share in the login phase.

If the site is legitimate, it will display the image captcha and on the other hand image captcha will not be displayed if the website is fraudulent. This work is implemented in

Java as front-end and SQL as backend. This work helps to identify the phishing site and

the textual keyword validation along with visual cryptography.

Keywords: Phishing, embedded EVCS, luminance method, visual cryptography

scheme