International Journal of Advanced Computing and Communication Systems

Enhancing Security in Mobile Ad-hoc Networks Using RSA Algorithm and SVM– Survey

Sivaranjanadevi P, Balaganesh S and Divya R, KSR college of Engineering, Tiruchengode, Tamil Nadu, India.

International Journal of Advanced Computing and Communication Systems

ISSN (Online) : 2347 - 9299

ISSN (Print) : 2347 - 9280

Received On : 04 January 2014

Revised On : 04 February 2014

Accepted On : 15 February 2014

Published On : 05 March 2014

Volume 01, Issue 01

Page No : 022-025

Abstract

Mobile ad hoc network is an infrastructure less network. Since it has more challenging characteristics providing security is a complicated task. Most of the existing system uses either intrusion detection system to detect the malicious activities or prevention system to prevent the attacks in MANET. In this work, we propose Intrusion detection system and cryptographic techniques to detect the attacks and prevent the network from further attacks. There are various cryptographic techniques to encrypt the message for avoiding unauthorized persons to access the message but there is a possibility to occur some attack when the keys are not exchanged properly. So we have used RSA algorithm for exchanging the key to encrypt and decrypt the data in a secure way. Rough Set Theory is used for extracting necessary features to decrease the complexity of IDS. Classification of normal and malicious behavior of the MANET is done by Support Vector Machine.e effectiveness and the performance of the proposed scheme.

Keywords

Rough Set Theory, Support Vector Machine, MANET, RSA algorithm, IDS.

Cite this Article

Sivaranjanadevi P, Balaganesh S and Divya R, “Enhancing Security in Mobile Ad-hoc Networks Using RSA Algorithm and SVM– Survey,” International Journal of Advanced Computing and Communication Systems, pp. 022-025, March, 2014.

Copyright

© 2014 Sivaranjanadevi P, Balaganesh S and Divya R. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.