Artificial immune system based MAC layer misbehavior detection in MANET

Abstract

MAC layer misbehavior drastically degrades the network efficiency even in the presence of secure ad hoc routing protocols. Even small number of malicious nodes may cause network partitioning or lead to failure of whole network. Simple attacks such as jamming or disruption on the 802.11 MAC, protocol if not taken care properly, propagated to the network layer. Detecting misbehaving node and punishing them is the only way for network survival. This paper introduces a Misbehavior Detection System (MDS) for MANET based on Artificial Immune System (AIS). Negative Selection technique is used for generating the detectors for identifying deviation from normal behavior. The proposed system detects malicious and selfish nodes performing misbehavior at MAC layer with the ability of learning and detecting new misbehavior. The system performance is evaluated using network simulator NS2 for MANET MAC layer 802.11 protocols over two on demand routing protocols AODV and DSR. Detection rate, false positive rate and Packet delivery rate are used as metrics for evaluation.