An authentication scheme for locating compromised sensor nodes in WSNs
Journal of Network and Computer Applications
Applying general sensing mode to intrusion detection in wireless sensor networks
WiCOM'09 Proceedings of the 5th International Conference on Wireless communications, networking and mobile computing
Intrusion detection in Gaussian distributed heterogeneous wireless sensor networks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Impact of mobile node density on detection performance measures in a hybrid sensor network
IEEE Transactions on Wireless Communications
Energy efficient learning solution for intrusion detection in wireless sensor networks
COMSNETS'10 Proceedings of the 2nd international conference on COMmunication systems and NETworks
EURASIP Journal on Advances in Signal Processing
LARK: A Lightweight Authenticated ReKeying Scheme for Clustered Wireless Sensor Networks
ACM Transactions on Embedded Computing Systems (TECS)
Advanced path selection method for detection of false reports in statistical filtering based WSNs
WISA'11 Proceedings of the 12th international conference on Information Security Applications
Hierarchical Ring-Based Data Gathering for Dense Wireless Sensor Networks
Wireless Personal Communications: An International Journal
An Integrated Intrusion Detection System for Cluster-based Wireless Sensor Networks
Expert Systems with Applications: An International Journal
Partial sensing coverage with connectivity in lattice wireless sensor networks
International Journal of Sensor Networks
Hierarchical role-based data dissemination in wireless sensor networks
The Journal of Supercomputing
Detect smart intruders in sensor networks by creating network dynamics
Computer Networks: The International Journal of Computer and Telecommunications Networking
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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.