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Dynamic Adaptive Trust Management System in Wireless Sensor Networks

In wireless sensor networks(WSN), the information transmission is in open space, and it is very important to use a trust management mechanism to detect malicious nodes. At present, most of the models adopt fixed parameters for the reputation calculation and fixed thresholds for the malicious detection. In the cluster network architecture, a dynamic trust management based on Beta distribution(BDTM)has been proposed in this paper. The proposed method dynamically calculates the reputation, and adopt a dynamic threshold to determines whether the node is malicious. The simulation results show that BDTM has better effects than some existing methods in the case of resisting On-Off attack, Bad-Mouth attack, selective forwarding attack and mixed attack.