A Reputation Management and Selection Advisor Schemes for Peer-to-Peer Systems


In this paper we propose a new and efficient reputation management scheme for partially decentralized peer-to-peer systems. The reputation scheme helps to build trust between peers based on their past experiences and the feedback from other peers. We also propose two selection advisor algorithms for helping peers select the right peer to download from. The simulation results show that the proposed schemes are able to detect malicious peers and isolate them from the system, hence reducing the amount of inauthentic uploads. Our approach also allows to uniformly distribute the load between non malicious peers.