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.