Paper Title
Detection of Network Layer Attacks in MANET Intrusion Detection using Grammatical Evolution and Feature Selection

MANET is an autonomous, flexible and distributed system of mobile nodes connected with wireless links. Today, ad hoc networks are very much applicable in many real time applications. In this paper, we implement Multicast Ad hoc On demand Distance Vector (MAODV) protocol for multicast routing. This paper is imposed on detecting most popular DoS attack such as ad hoc Flooding attack. An intrusion detection system is built with the grammatical evolution and the Classification algorithm to detect the ad hoc flooding attack. The performance of the network is simulated by ns-2 with varying traffic and mobility pattern to monitor the network operation. Further, the feature selection is used to choose the relevant features to improve the network performance. Keywords - MANET, Intrusion Detection, MAODV, Feature Selection