Anomaly detection using clustering for ad hoc networks -behavioral approach-

Belacel Madani; B. Messabih

doi:10.18495/comengapp.v1i1.6

[1] Ozleyis Ocakglu, Burak Bayoglu, Albert Levi, Ozgur Ercetin and Erkay Savas, A Probabilistic Routing Disruption Attack on DSR and Its Analysis,2004.
[2] Curry and H. Debar, Intrusion Detection Message Exchange Format Data Model and Extensible Markup Language (XML) Document Type Definition, Internet Draft, June, 2002.

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Affiliations

Belacel Madani
Department of Computer science, UNIVERSITY OF SCIENCE AND TECHNOLOGY ORAN

B. Messabih
Department of Computer science, University of Science and Technology Oran

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Anomaly detection using clustering for ad hoc networks -behavioral approach-

Belacel Madani ,
B. Messabih

Vol 1 No 1 (2012)

DOI 10.18495/comengapp.v1i1.6

Submitted: Mar 15, 2012

Published: Jun 25, 2012

Abstract

Mobile ad hoc networks (MANETs) are multi-hop wireless networks of autonomous mobile nodes without any fixed infrastructure. In MANETs, it is difficult to detect malicious nodes because the network topology constantly changes due to node mobility. Intrusion detection is the means to identify the intrusive behaviors and provide useful information to intruded systems to respond fast and to avoid or reduce damages. The anomaly detection algorithms have the advantage because they can detect new types of attacks (zero-day attacks).In this paper, the Intrusion Detection System clustering-based (ID-Cluster) that fits the requirement of MANET is presented. This work addresses both routing layer misbehaviors issues, with main focuses on thwarting routing disruption attack Dynamic Source Routing (DSR). To validate the research, a case study is presented using the simulation with GloMoSim at different mobility levels. Simulation results show that proposed system can achieve desirable performance and meet the security requirement of MANET.