International Journal of Advanced Computing and Communication Systems

Identify malicious activities using host-based IDSs in high security mobile adhoc networks (MANETs)

Vadhana Kumari S, Department of CSE, Maria College of Engineering and Technology , Attoot, K.K. Dist, Tamil Nadu, India.

Paramasivan B, Dept. of CSE, National Engineering College, Kovilpatti, 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 : 015-021

Abstract

User authentication is an important approach to protect high security mobile adhoc networks (MANETs). On the other hand, intrusion detection systems (IDSs) are also important in MANETs to effectively identify malicious activities. Considering these two approaches jointly is effective in optimal security design taking into account system security requirements and resource constraints in MANETs. To obtain the optimal scheme of combining continuous user authentication and IDSs in a distributed manner, to formulate the problem as a partially observable Markov decision process multi-armed bandit problem. To present a structural results method to solve the problem for a large network with a variety of nodes. The policies derived from structural results are easy to implement in practical MANETs. Simulation results are presented to show the effectiveness and the performance of the proposed scheme.

Keywords

Authentication, Intrusion detection, Mobile adhoc networks, Security.

Cite this Article

Vadhana Kumari S and Paramasivan B, “Identify malicious activities using host-based IDSs in high security mobile adhoc networks (MANETs),” International Journal of Advanced Computing and Communication Systems, pp. 015-021, March, 2014.

Copyright

© 2014 Vadhana Kumari S and Paramasivan B. 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.