Detecting Suspicious Behavior from Positional Information

Abstract

Suspiciousness is not the same an anomalousness. Suspicion requires evidence of deception in observed attempts at concealment. We propose metrics for measuring suspiciousness of agents moving in a sensor field based on only periodic knowledge of their positions (as with large numbers of "small and cheap" sensors). This has applications to electronic sentries and counterterrorism. This theory requires assessment of the behavior, visibility, and noticeability of the average agent as well as the anomalousness of the position, velocity, and acceleration vectors of a particular agent. We conclude with a report on experiments with an implementation of our theory on a simulated sensor network.