International Journal of Computer Science and Security (IJCSS), Volume (3), Issue (2)

Mobile ad hoc network does not have traffic concentration points such as gateway or access points which perform behavior monitoring of individual nodes. Therefore, maintaining the network function for normal nodes when other nodes do not route and forward correctly is a big challenge. This paper, address the behavior based anomaly detection technique inspired by the biological immune system to enhance the performance of MANET to operate despite the presence of misbehaving nodes. Due to its reliance on overhearing, the existing watchdog technique may fail to detect misbehavior or raise false alarms in the presence of ambiguous collisions, receiver collisions, and limited transmission power. Our proposed scheme uses intelligent machine learning techniques that learns and detects each node by false alarm and negative selection approach. We consider DSR, AODV and DSDV [1] as underlying routing protocol which are highly vulnerable to routing misbehavior. Analytical and simulation results are presented to evaluate the performance of the proposed scheme.