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. © IFIP International Federation for Information Processing 2004.
CITATION STYLE
Mekouar, L., Iraqi, Y., & Boutaba, R. (2004). A reputation management and selection advisor schemes for peer-to-peer systems. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3278, 208–219. https://doi.org/10.1007/978-3-540-30184-4_18
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