Double Cluster Head-based Feedback Trust Model for Wireless Sensor Network

To address the attacks on the communication data by malicious or compromised nodes in Wireless Sensor Network(WSN),this paper proposes a feedback trust model based on double cluster head to ensure the reliability and integrity of data in transmission,perception and fusion.The results of direct interactions between nodes are used to evaluate their direct trust,and the communication,data perception and fusion trust are considered at the same time.The communication trust of neighbor nodes is evaluated by using the Bayesian formula.The historical trust of nodes is used as the supplement of direct trust by using time sliding window,and the weights of direct and indirect trust are adjusted dynamically to make the comprehensive trust evaluation more objective and accurate.On this basis,the monitoring mechanism for interactions between double cluster head and the feedback mechanism for base station trust are introduced.The primary cluster head and the supervisory cluster head independently evaluate the data perception trust of the members according to the spatial correlation of the local data.The base station uses the temporal correlation of the data fusion results of the dual cluster head to evaluate the data fusion trust,and feeds back the final trust results to all nodes.Simulation results show that the model can effectively detect abnormal data and malicious nodes,successfully resist selective forwarding attacks,forgery local data attacks and forgery fusion data attacks,achieving a good balance between network security and energy consumption.