Detecting Suspicious Behavior from Only Positional Data with Distributed Sensor Networks
Abstract
Wireless sensor networks are increasingly popular, and are being used to measure simple properties of their environment. In many
applications such as surveillance, we would like them to distinguish "suspicious" behavior automatically. We distinguish here between
suspicious and anomalous behavior, and develop a mathematical model which we illustrate on some sample data. We show the model
predicts six classic deception strategies. We conclude with analysis of more sophisticated deceptions that exploit system responses to simpler deceptions.
Description
Proceedings of DTEC '05, 2005 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference