The Ad-hoc Network Trustworthiness Evaluation Model Based on the Bayesian Network

To address security problem of the Ad-hoc network caused by vulnerable username and password, we present a trustworthiness evaluation model based on Bayesian network. The node's trustworthiness is computed in the form of direct and indirect trustworthiness. Bayesian network employs node's online duration, link speed, routing forwarding ratio and surplus energy as four entities to compute direct trustworthiness. Indirect trustworthiness is archived by node's single-hop neighbors' collaboration. The proposed model allows dynamic evaluation policy. Simulation shows that the model obtains dynamical, timely, precious, sensitive and fixable trustworthiness.