Research On Trust Model Applied In P2P E-Commerce

With the rapid development and popularization of the Internet, P2 P e-commerce is developing step by step as a new model of e-commerce. However, the characteristics of dynamic, anonymity and open in P2 P network make e-commerce activities to become more convenient and flexible, but lead to greater degree risk and security threats. Therefore, how to establish a trust mechanism in P2 P network, which suppress and eliminate malicious behavior of peers, faith cooperation between the pumping peer, improve the security and stability of the network is becoming a hot topic. On the foundation of concluding recent trust, this article makes a deep research on trust model applied in P2 P e-commerce. The main works are as the following:Aimed at the detect and disadvantage of traditional trust model, the trust evaluation model based on peer-trading factors is proposed. The model is established based on many factors that affect the trading behavior, and the calculation method of the trust value is given.The reward and penalty factors are introduced to solve the problem, which effectively suppressed the malicious behavior and encourage integrity of transactions. We give the calculation methods of weighting function about the recommended peers to improve the recommendation accuracy, thus avoided the malicious recommendations and collusive behaviors. It set the amount of dynamic trading restrictions based on transaction history, and discuss its relationship with the trust threshold, prevent malicious peers to raise their reputation by the means of small amount of sucessful transactions money, then take fraudulent behavior in large transactions to build a good transaction environment.The accuracy, validity and practicality of the trust model is verified by experiments, and the simulation experiments show that the game model can improve the rate of successful transaction under attack of different types of malicious peers, effectively against the malicious attacks, reduce transaction risk, and improve the overall performance of the network.