Research On Trust Model In Mobile P2P Network

With the rapid development of wireless communication technology, mobile phone, tablet and laptop have become more and more popular. P2 P technology has also entered into the field of mobile network and mobile P2 P network(MP2P network) has been formed. Trust evaluation is the key to ensure the robustness of MP2 P network. The study of trust model in MP2 P has been on early stage due to the characteristics of terminals in MP2 P network.Aimed at MP2 P network, the poor stability and high dynamic characteristics of terminals, here proposes a dynamic role property based trust model for MP2 P networks(DRPTM). This trust model introduces a trade stable factor and time experience value, based on nodes' time experience value and its contribution in different time, the model distributes nodes different roles dynamically. Simulation proves that this model can prevent effects from unstable nodes, improve stable nodes functions, reduce effects from "free rides" and hypocritical nodes, and improve trade success rate.Combining the characteristics of MP2 P network and the node needs of trust, a trust model based on dual trust requirement(DTRTM) is proposed. In this model, the node requirement of trust is divided into two types: resource trust requirement and service trust requirement, resource trust value and service trust value are used to describe its credibility respectively. Simulation experiments show that DTRTM can reduce the impact of collusion and restrain selfish peers' free ride behaviors effectively. It also can reduce the overhead of trust evaluation, improve the rationality of trust value, increase successful transaction rate in MP2 P network.Aimed at the nodes' different roles in transaction in MP2 P network, a dynamic dual role properties based trust model for MP2 P trust model(DDRTM) has been proposed. This model can not only improve quality of service in the network node status, but also to enhance the resources of active nodes in the network's influence. Suppress the influence of hitchhiking node on the network more effectively, significantly reducing the impact of collusion on transaction success rate nodes, while reducing the impact of scarce resources and low quality of service nodes on the network transaction success rate. Simulation proves that this model can prevent effects from unstable nodes, improve stable nodes functions, reduce effects from "free rides" and hypocritical nodes, and improve trade success rate. The cost of trust assessment in the model will be calculated and controlled within a certain range, which complete node trust evaluation lightweight.