Secure and Reliable Prediction Based Target Tracking for Wireless Sensor Networks

Tracking a target as it moves in a monitored area has become an increasingly important application for wireless sensor networks (WSNs). However, tracking security has gained little or no attention so far. Due to their open nature, in WSNs, compromised sensor nodes aim to distort the integrity of data by sending false data reports, injecting false data during sensing operation, and disrupting transmission of sensed data. Sensor nodes receiving such information will suffer greatly in terms of tracking precision. In this paper, we propose a secure target detection algorithm that considers security and target tracking tasks simultaneously. The preliminary analysis results show that the proposed protocol is able to securely track a target in the presence of compromised sensor nodes and cluster heads.