Research On The Application Of Trust Management Mechanism Based On Node Behavior

In P2P network, all nodes have equal status, the node provide services for other nodes when enjoying services provided by them, therefore, the node not only can be a service provider but a consumer. Nowadays, the core of the Internet has changing from network into mobile terminal, and P2P technology has obtained extensive and successful applications on the strength of its flexible deployment and low-cost.Many problems exist in the existing trust models in P2P network, such as ignoring that trust value decay with time when computing trust value, ignoring to considering the nodes tend to trust their similarity node's recommendation, and reduced performance and computational overhead with the growing network size. To solve the above problems, the main works of this paper are as follows:(1) As for the problems of ignoring that trust value decay with time when computing trust value and ignoring to considering the nodes tend to trust their similarity node's recommendation, a trust model based on nodes rating behavior(NRBTrust) is proposed.NRBTrust takes the time decay function as regulatory factor when computing direct trust,because trust value decays with the passage of time. And NRBTrust also takes nodes evaluation similarity into consideration when computing recommender trust, because nodes tend to believe the nodes, which is more similar with them.(2) As for the problem of the continuous expansion of nodes in trust management model leading to computational cost, a trust management model based on interest clusters(IC-Trust)is proposed. IC-Trust adds nodes with higher similarity that achieves a similarity threshold into a cluster. The trade rate among nodes in a cluster is more frequent than the nodes in different clusters. Each interest cluster will select a node with highest comprehensive performance as the super node, which is responsible for managing trust information, trading information and the dynamic adding and exiting of the other nodes. If two trading nodes are in the same interest cluster, the trust of the nodes can be obtained by integrating the trading records among other nodes in the same cluster and the target node and the trading experience between the trading node and the target node, and several related parameters should be considered. If two trading nodes are in different clusters, the trust of the node can be obtained by integrating the trust rating among the interest clusters and the direct trading of the node.(3) A prototype system of trust management is designed to validate the above two models.The performance of the system shows that the proposed models can effectively restrain manykinds of malicious behaviors of some nodes, improve the successful trade rate,improve the security of node trading in distributed network environment.