FuzRep: A Community-Oriented P2P Reputation System with a Fuzzy Technique for Incentive Provision

• Main Authors: Yu-Kai Lin, 林于凱
• Other Authors: Ming-Chang Huang
• Format: Others
• Language: en_US
• Published: 2006
• Online Access: http://ndltd.ncl.edu.tw/handle/93055639767454539305

碩士 === 國立清華大學 === 科技管理研究所 === 94 === Peer-to-Peer (P2P) networks have shown their great strength as an information sharing architecture what we witness from the popularity and the variety of P2P-related applications. Lack of incentives, however, makes most peers unwilling to cooperate and lead to free-riding behavior. The prevalence of free riders will, eventually, bring P2P networks performance and security issues as what traditional client-server architecture encountered. One way to encourage cooperation is through service differentiation based on each peer’s contributions. This paper presents FuzRep, a reputation system that incorporates virtual community and fuzzy logic techniques for P2P networks. Without using information hubs or DHT-like pre-sorting structure, we utilize the clustering effect of virtual communities for reputation management. Furthermore, we treat service discrimination for resource request as a decision-making process so that a fuzzy-based mechanism is adopted in FuzRep to facilitate that process. Finally, the experimental results of this reputation system positively indicate the feasibility of our design.