Abstract

Peer-to-Peer systems are based on collaboration of peers to accomplish tasks. Trust relationship among peers can help to reduce attacks of peers with malicious intent. In this paper we presents algorithms which helps a peer to reason about trustworthiness of other peers based on interactions in the past and recommendations. Peers create trust network using local information and does not need to deal with global information. Service and recommendation metrics describes the trustworthiness of peers in providing services. Recentness, importance and peer satisfaction parameters are considered for evaluating interactions and recommendations. A good peer can isolate malicious peers with the help of trust relationships.

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