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

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

Yu-Kai Lin
Masters, 國立清華大學, 科技管理研究所
2005

Abstract

點對點網路 搭便車 信譽系統 模糊邏輯 虛擬社群 服務差異化 peer-to-peer network free-riding reputation system fuzzy logic virtual community service differentiation
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.

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