A Trust Model in P2P E-Commerce Systems

In Peer-to-Peer (P2P) e-commerce systems, peers' features such as heterogeneity, anonymity and autonomy lead to some security problems, such as forging, slandering and collective cheating, which affect the quality of service a lot. A trust model in P2P e-commerce systems based on the recommendation is proposed, each peer in the system has a unique credibility of recommendation, two trust parameters for updating the credibility of recommendation are introduced, namely updating range and updating strength. The trust model proposes an algorithm to update the credibility of recommendation; a peer selects recommendation peers whose evaluation criteria are similar, evaluation criteria of peers are determined through the AHP method (Analytic Hierarchy Process). Simulations show that, the trust model can identify malicious peers, and improve the quality of service in P2P e-commerce systems effectively.