A Novel Reputation Model for Malicious Node Detection in Wireless Sensor Network

With the development of WSNs in the military and commercial fields, the security of WSNs is becoming more and more important. The security threats of wireless sensor networks (WSNs) come from not only the attacks of external attackers but also the byzantine behaviors and selfish behaviors of internal nodes. The classical security mechanisms, namely cryptography and authentication, can prevent some outsider attacks, however, they are noneffective to the attacks and the anomaly behaviors of internal nodes. A reputation-based model for malicious node detection in WSNs is proposed in this paper. In this model, the beta distribution is used to describe the reputation distribution, and the indirect reliability of third-party nodes is introduced. The simulation results show that the proposed model has better performance in terms of resisting the malicious deceit behaviors of high credit-grade nodes.