Journal of network security(vol2, issue1) by STM Journals Publication

ISSN 2321 â&#x20AC;&#x201C; 8517 (Jan - April 2014)

Journal of

Network Security (JoNS)

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Journal of Network Security (ISSN: 2321-8517) Focus and Scope Covers ? 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 Journal of Network Security is published (frequency: three times a year) in India by STM Journals (division of Consortium e-Learning Network Private Ltd. Pvt.) The views expressed in the articles do not necessarily reflect of the Publisher. The publisher does not endorse the quality or value of the advertised/sponsored products described therein. Please consult full prescribing information before issuing a prescription for any products mentioned in this publication. No part of this publication may be reproduced, stored in retrieval system or transmitted in any from without written permission of the publisher. To cite any of the material contained in this Journal, in English or translation, please use the full English reference at the beginning of each article. To reuse any of the material, please contact STM Journals (info@stmjournals.com)

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Dr. Rakesh Kumar

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Dr. Divakar Singh Yadav Dept. of Computer Science & Engineering, Institute of Engineering and Technology UP Technical University, Lucknow, India

Maj. Gen Anil kumar Jain Amity University, India

Senthil Kumar A.V. Hindusthan College of Arts and Science, Coimbatore, India

Prof. Prasanta K. Jana Indian School of Mines, Dhanbad

Dr. Gunamani Jena ME CSE, PhD, FIE, MIEEE, LMISTE, MCSI, India

Yaduvir Singh Department of Electrical and Instrumentation Engineering, Thapar University, Patiala Punjab, India

Dr. Mark Burgin Dept. of Mathematics, UCLA, Los Angeles, CA 90095, USA, United States

Dr. Adesh Kumar Sharma National Dairy Research Institute (Deemed University), Indian Council of Agriculture, Haryana, India

Dr. B.L. Shivakumar Assoc. Prof., Dept. of Computer Applications, Sri Ramakrishna Engineering College, NGGO Colony Post, Coimbatore, India

Director's Desk

STM JOURNALS

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 writeups/ 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

Journal of Network Security

Contents

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

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

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

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

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

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

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, nonmalicious, IP blacklisting

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 proxyâ&#x20AC;&#x2122;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-toserver 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

Page 13

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

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