Short paper: A distributed cross-layer intrusion detection system for ad hoc networks

Yu Liu, Yang Li, Hong Man

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

19 Scopus citations

Abstract

In this paper, we propose a node-based intrusion detection system (IDS) for wireless ad hoc networks. Specifically, we define a feature set that correlates information from MAC layer and network layer to profile normal behaviors of mobile nodes, and we also adapt a rule-based data mining technique for anomaly detection. The proposed IDS is able to effectively detect an attack and is able to localize the attack source within one-hop perimeter. False positive rate is reduced through the decision module of the IDS where intelligence gathered from neighbor nodes is used to make a collaborative decision and Bayesian network is used to evaluate multiple attack sources. We validate our work through ns-2 simulation experiments. Experimental results show the effectiveness of our method.

Original languageEnglish
Title of host publicationProceedings - First International Conference on Security and Privacy for Emerging Areas in Communications Networks, SecureComm 2005
Pages418-420
Number of pages3
DOIs
StatePublished - 2005
Event1st International Conference on Security and Privacy for Emerging Areas in Communications Networks, SecureComm 2005 - Athens, Greece
Duration: 5 Sep 20059 Sep 2005

Publication series

NameProceedings - First International Conference on Security and Privacy for Emerging Areas in Communications Networks, SecureComm 2005
Volume2005

Conference

Conference1st International Conference on Security and Privacy for Emerging Areas in Communications Networks, SecureComm 2005
Country/TerritoryGreece
CityAthens
Period5/09/059/09/05

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