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.