A local trust model based on time influence function in P2P networks

In peer-to-peer network environment, there is no centralized management authority to be relied on, so the service provider and service requester have to establish some assessment model, and evaluate the dynamic behavior of others, then choose more credible trusted entities to interact. Only in this way can they ensure security, safety and reliable decisions. On the basis of EigenTrust model, a local trust value computation model considering time effect function is put forward, and it reduces the network overhead, increases the binding force of malicious nodes, and makes the trust value computation model more reliable and accurate. Simulation experiments show that the improved model proposed in this paper greatly reduces the network overhead indeed, and transaction success rate of nodes is higher than EigenTrust model in the presence of malicious nodes in the P2P system.