An enhanced intrusion detection system for mobile ad-hoc network based on traffic analysis

Abstract

The problem of intrusion detection in MANET’s has been approached in different dimension in this paper. This paper proposes a novel system network information based moderation model to identify and alleviate routing attacks. The proposed system uses time variant snapshots to detect routing attacks. Each node learns network details using the network information theory (NIT) to get the knowledge about the nodes of network, the neighbor locations, energy details, displacement speed from the route discovery packets and reply packets. From the learned details each node constructs the network topology at each time window to perform intrusion detection. At each packet reception, the node performs intrusion detection using NIT and TVS learned. The proposed technique has delivered effective outcome in mitigation of intrusion detection in mobile ad-hoc networks and improves the performance to a higher level.