Designing Intrusion Detection to Detect Black Hole and Selective Forwarding Attack in WSN Based on Local Information

Abstract

The wireless sensor networks (WSNs) are being deployed frequently in variety of environments such as military surveillance, forest fire monitoring, chemical leakage monitoring etc. Sensor nodes have limited communication capability and low computation resources so each node is weak entity that can be easily compromised by adversary by launching malicious software inside the network. Performance evaluation of wireless sensor network requires realistic modeling of intrusion detection system since most of WSNs are application specific. In WSN, nodes have specific properties such as stable neighbors' information that helps in detection of anomalies in network. Nodes monitor their neighborhood and collaborate with cluster head to detect malicious behavior. Even though nodes don't have global view but they can still detect an intrusion with certain probability and report to cluster head. This paper introduces a specification based intrusion detection system for wireless sensor networks.