An efficient collaborative intrusion detection system for MANET using Bayesian Approach

Authors:
A. H. M. Rezaul Karim;R. M. A. P. Rajatheva;Kazi M. Ahmed
Affiliations:
Asian Institute of Technology, Pathumthani, Thailand;Asian Institute of Technology, Pathumthani, Thailand;Asian Institute of Technology, Pathumthani, Thailand
Venue:
Proceedings of the 9th ACM international symposium on Modeling analysis and simulation of wireless and mobile systems
Year:
2006

Citing 4
Cited 1

Intrusion detection in wireless ad-hoc networks

MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Data mining-based intrusion detectors: an overview of the columbia IDS project

ACM SIGMOD Record
Artificial Intelligence: A Modern Approach

Artificial Intelligence: A Modern Approach
Intrusion detection techniques for mobile wireless networks

Wireless Networks

Mobile Agent Based Network Defense System in Enterprise Network

International Journal of Handheld Computing Research

Quantified Score

Hi-index	0.00

Visualization

Abstract

Mobile Ad hoc networks (MANETs) are susceptible to several attacks due to their general infrastructureless scenario, dynamic topology and other characteristics. General security mechanisms that exist in wired network cannot be applied efficiently in MANET. In the current literature, there are many proposals for intrusion detection system (IDS) in MANET as a second defense. However, all such IDS suffer from performance penalties and high false alarm rates. In this paper we propose a collaborative IDS for MANET using Bayesian method. We use a set of very useful features which guarantee the effectiveness of the IDS and the Bayesian method improves the efficiency in the detection procedure. We expect it to be more versatile than other existing collaborative methods. Considering the protocol-independence of our method, it may be applied in any Ad hoc scenario.