Trust Evaluation for P2P Systems

As online interactions often occur among peers with no prior knowledge of each other in P2P systems, the problem of security is attracting more and more attention. Hence, how to construct an effective trust mechanism to help build trust among peers is an important issue for the research of P2P technology nowadays. This paper proposes a novel reputation-based trust evaluation mechanism for P2P systems. This mechanism takes into account the comprehensive factors affecting trust level, improves the calculation methods of local reputation and global reputation, reduces the computing load of trust level, and introduces the blacklist mechanism into P2P systems. The experiment result shows that this proposed mechanism can effectively evaluate the trust level of peer and detect and separate malicious peers from P2P systems to improve the successful downloading rate, and can be effectively applied to P2P systems.