A P2P e-Commerce Reputation Model Based on Fuzzy Logic

Peer-to-Peer (P2P) networking is beneficial when removing a centralized server. On the other hand, new mechanisms are required to compensate for the central authority, especially for network security and dependability. In this paper, we propose a new fuzzy reputation (Fuzzy-Rep) model to improve security and dependability of P2P e-commerce. The model employs fuzzy logic inference rules to assess transactions through evaluating the direct trust, indirect reputation, peer´s comprehensive reputation, rewards and penalty mechanisms which can resist vicious trust recommendation and fraud.