Applying General Sensing Mode to Intrusion Detection in Wireless Sensor Networks

Intrusion detection is defined as a mechanism for a WSN to detect the existence of inappropriate or anomalous moving attackers via the sensors. All previous studies on intrusion detection are primarily based on the Boolean sensing model. But experiments and experience suggest the general sensing model is more reasonable for radio, acoustic and seismic signals than the Boolean sensing model. In this paper, we apply general sensing model to calculate the sensing signal, and integrator model to identify a moving intruder. Furthermore, we provide theoretical formulations for the intrusion detection probability in WSNs that follow uniform and Gaussian distributions. Our simulation results indicate the correctness of our analytical models.