An intrusion detection system for cluster based wireless sensor networks

Dramatic advances in wireless sensor networks (WSNs) are paving the way for it's widely application. However, security issues have emerged. Compared with the general network, wireless sensor networks has its own characteristics. The most prominent point is the limited resource in WSNs. Such as energy, computation and communication capability. Therefore. wired security mechanism can not applied in WSNs directly. It is necessary to design an security system apply to WSNs. In this paper, we proposed a new intrusion detection system (IDS) which integrates the approach of nodes behavioral strategies and evidence theory. According to the deviation from the normal level of node's behavior, basic input vector of evidence is constructed. Meanwhile, the weight algorithm is applied to represent the importance of each behavior characteristic and revise evidences before synthesis. Finally, linked with evidence theory and judgment rules, we get the detection result of the evaluated node. The simulation results show that our approach is more effective in detecting malicious nodes with higher detection ratio and lower misdetection ratio compared with existing schemes.