Detecting Location-Based Attacks in Wireless Sensor Networks Using Sequential Analysis

摘要

Correct location information is an essential requirement in wireless sensor networks which sense and report location-based events. When such networks are deployed in remote and hostile environment, it is easy for an adversary to capture and tamper the sensor nodes. Such tampered nodes thwart the network operations by launching several attacks. Among security attacks, location-based attacks (LBAs) are the serious attacks on geographic routing which disrupts the network operations. This paper focuses on detecting and isolating malicious nodes launching LBAs. A method is proposed to detect false location claims using sequential probability ratio test. This method has been incorporated into a well-known Greedy Perimeter Stateless Routing protocol. The efficiency of the framework is validated through ns-2 simulations. The simulation results show that the proposed framework is robust in detecting false location claims with very low false positive and false negative rates.