Black hole attack in AODV & friend features1unique extraction to design detection engine for intrusion detection system in mobile adhoc network

Ad-hoc network is a collection of nodes that are capable to form dynamically a temporary network without the support of any centralized fixed infrastructure. since there is no central controller to determine the reliable & secure communication paths in mobile adhoc network,each node in the ad hoc network has to rely on each other in order to forward packets,thus highly cooperative nodes are required to ensure that the initiated data transmission process does not fail. in a mobile ad hoc network (manet) where security is a crucial issue and they are forced to rely on the neighbor node,trust plays an important role that could improve the number of successful data transmission. larger the number of trusted nodes,higher successful data communication process rates could be expected. in this paper,black hole attack is applied in the network,statistics are collected to design intrusion detection engine for manet intrusion detection system (ids). feature extraction and rule inductions are applied to find out the accuracy of detection engine by using support vector machine. in this paper true positive generated by the detection engine is very high and this is a novel approach in the area of mobile adhoc intrusion detection system. © school of engineering,taylor's university.