A RSSI-Based Cooperative Anomaly Detection Scheme for Wireless Sensor Networks

Wireless sensor networks (WSNs) have an excellent prospect in the applications of monitoring, tracking, and distributed sensing. However, WSNs are highly vulnerable to various kinds of attacks, especially the physical attacks in hostile unattended environments. In this paper, the intrusion detection and localization for WSNs are considered, and a cooperative monitoring scheme to detect the displacements of sensor nodes by the cooperation of involved nodes in WSNs is presented. Our scheme is mainly based on the feasible received signal strength indicator (RSSI) values to collect the data of anomalous actions in WSNs. A fairly lightweight and cooperative decision-making process is adopted to decide anomalies. Our analysis and simulation results, including the false positive rates and the false negative rates, show that the proposed scheme based on RSSI values can effectively detect anomalies within a certain scope.