P2PETrust: A novel distributed transaction history vector-based trust appraisal model for peer-to-peer e- commerce networks

Peer-to-peer (P2P) E-commerce systems are more and more popular in recent years with opportunities and threats both existing. A lot of malicious nodes threaten the system’s security via cheating, selfish and attacking or else. Trust mechanisms can help estimating the trustworthiness. This paper presents a distributed trust model named P2PETrust (peer-to-peer E-commerce trust model) based on social networks’ principles. A transaction history vector with multi dimensions is designed to describe the history before the distributed storage structure. In order to compute the trust, three sub trust models are defined in P2PETrust, which are local model, global model and correlation model. The local trust model is the base trust mechanism to compute history between two nodes after defining the nonlinear time factor, transaction amount factor, frequency factor and success rate for the history while the global one is based on local model to calculate a node’s whole transaction histories with some global factors defined. On the basis of these jobs, a correlation trust model is presented by calculating nodes’ correlative similarity multiplied with global trust degree. We present a simulation environment to validate the proposed trust model and report the set of initial experiments, showing the feasibility and benefit of our approach.

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