Detecting Sinking Behavior at MAC and Network Layer Using SVM in Wireless Ad hoc Networks

Wireless Ad hoc networks present more security problems than the conventional wired and wireless networks because of the nature of dynamically changing and a fully decentralized topology. As the Ad hoc network lacks infrastructure the nodes have to cooperate for services like routing and data forwarding. This paper proposes a Autonomous Intrusion Detection System using SVM. The feature set are constructed from MAC layer and Network layer to profile the normal behavior and malicious behavior of wireless node. The training data consist of both normal and abnormal behavioral patterns. Hence the proposed system identifies both anomaly and Misbehavior of nodes in the network. Simulation is done under various network conditions and malicious node behavior. The features identified are obtained by analyzing the data from the trace log.These feature values obtained are created by simulating wireless node behavior and used by SVM to detect intrusions.