The Research Of Trust Management Mechanism In P2P Electronic Commerce

With the development and spread of personal computers, in recent years, P2P (Peer to Peer) technology has been developed rapidly. In particular, the P2P technology to be used in e-commerce, its dynamic, anonymity, openness and other characteristics that makes e-commerce transactions more flexible. However in meanwhile of convenience, P2P technology allows e-commerce security issues of trust more severe, which has become a P2P e-commerce development constraint. Confidence-building model can effectively solve the problem of trust and to help users to establish a reliable trust relationship. However, the establishing of most existing P2P trust models are based on common application but not considering the characteristics of e-business environment and also lacking of measures to be against malicious attacks. Various kinds of loopholes occurred in transaction process, while the transaction risk can not be eliminated. In addition, most models use a simple variable expressions trust relationship in electronic commerce which can not embody the complexity, diversity and subjectivity, it is difficult to describe and assess the relationship of trust between trading partners.However, It proposed a vector-based trust model for P2P e-commerce trust (VBTMod ) by Wang Li fang, with the vector representation of the model of trust and other nodes feedback. In the assessment of some of the malicious behaviors, the preventive measures shall be executed by introducing the new permissions system on e-commerce. To prevent the large numbers of trust attacks happened in e-commerce by accumulating of small-sized trust values. In order to against the various trust attacks on e-commerce and securing virtual market, the paper model is improved to be defend of "false trading" behavior and function of the impostor. As pure decentralized P2P network e-commerce is yet has success stories, we assume that e-commerce to be carried out in P2P hybrid network model. Selecting the better performance of the node as a third party monitoring areas under their jurisdiction, which is responsible for vetting the nodes with high confidence? And some unscrupulous node to improve their confidence by "false trading", they make transactions to their own or get sham transactions through friends in order to motivate nodes which obtained through the normal channels of trust value. We introduce the punishment mechanism.In addition, from both buyers and sellers trust game bounded rationality, trust in the light of dynamic model the idea to establish the appropriate buyers and sellers trust game model, the purpose is to analyze the P2P e-commerce transactions of both evolutionary stable strategy game. Evolutionary stable strategy by game analysis results indicates that the long-term benefits of both buyers and sellers in order to achieve the optimal selection strategy are to increase the mutual trust.In the end, to motivate the user in the virtual market transaction to take an honest strategy, this paper introduces the incentive trust funds and encouraging parties to take an honest trading strategy in order to establish one security, stability and developmental virtual market.