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Intrusion detection in Wireless Sensor Network (WSN) is of practical interest in many applications such as detecting an intruder in a battlefield. The intrusion detection is defined as a mechanism for a WSN to detect the existence of inappropriate, incorrect, or anomalous moving attackers. For this purpose, it is a fundamental issue to characterize the WSN parameters such as node density and sensing range in terms of a desirable detection probability. In this paper, we consider this issue according to two WSN models: homogeneous and heterogeneous WSN. Furthermore, we derive the detection probability by considering two sensing models: single-singing detection and multiple-sensing detection. In addition, we discuss the network connectivity and broadcast reachability, which are necessary conditions to ensure the corresponding detection probability in a WSN. Our simulation results validate the analytical values for both homogeneous and heterogeneous WSNs.
Wireless sensor networks, Pervasive computing, Probability and Statistics, Network Architecture and Design, Security and Privacy Protection
Yun Wang, Dharma P. Agrawal, Demin Wang, Bin Xie, Xiaodong Wang, "Intrusion Detection in Homogeneous and Heterogeneous Wireless Sensor Networks", IEEE Transactions on Mobile Computing, vol. 7, no. , pp. 698-711, June 2008, doi:10.1109/TMC.2008.19
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