Journals Proceedings

Abstract

The use of wireless links makes a Mobile Ad hoc Network(MANET) susceptible to malicious attacks, ranging from passive eavesdropping to active interference. In wired networks an attacker has to pass through a set of firewalls and gateways to access the network. Whereas MANETS does not have firewalls or gateways so attacks can take place from all directions. Every node in a MANET is an autonomous unit in itself and free to move independently. So any node without adequate protection is very much prone to be captured or compromised. Intrusion prevention techniques like encryption and authentication can reduce the risk of intrusion but cannot completely eliminate them so a second level of defense is needed. We propose a new quantitative method of intrusion detection system to detect intrusion in MANETS with mobile nodes. The proposed method is a behavioral anomaly based system which is dynamic, scalable, configurable and robust. For simulating the proposed system we use AODV routing protocol. It is observed that the malicious node detection rate is very good and the false positive detection rate is low.