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ABSTRACT
<p><b>Abstract</b>—Peer-to-peer (P2P) online communities are commonly perceived as an environment offering both opportunities and threats. One way to minimize threats in such communities is to use community-based reputations to help estimate the trustworthiness of peers. This paper presents PeerTrust—a reputation-based trust supporting framework, which includes a coherent adaptive trust model for quantifying and comparing the trustworthiness of peers based on a transaction-based feedback system, and a decentralized implementation of such a model over a structured P2P network. PeerTrust model has two main features. First, we introduce three basic trust parameters and two adaptive factors in computing trustworthiness of peers, namely, feedback a peer receives from other peers, the total number of transactions a peer performs, the credibility of the feedback sources, transaction context factor, and the community context factor. Second, we define a general trust metric to combine these parameters. Other contributions of the paper include strategies used for implementing the trust model in a decentralized P2P environment, evaluation mechanisms to validate the effectiveness and cost of PeerTrust model, and a set of experiments that show the feasibility and benefit of our approach.</p>
INDEX TERMS
Peer-to-peer, trust, reputation mechanisms, data management, security.
CITATION
Ling Liu, Li Xiong, "PeerTrust: Supporting Reputation-Based Trust for Peer-to-Peer Electronic Communities", IEEE Transactions on Knowledge & Data Engineering, vol. 16, no. , pp. 843-857, July 2004, doi:10.1109/TKDE.2004.1318566
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