A Bayesian game approach for intrusion detection in wireless ad hoc networks
GameNets '06 Proceeding from the 2006 workshop on Game theory for communications and networks
Modelling misbehaviour in ad hoc networks: a game theoretic approach for intrusion detection
International Journal of Security and Networks
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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.