PeerTrust: supporting reputation-based trust for peer-to-peer electronic communities
Li Xiong
Ling Liu
Coll. of Comput., Georgia Inst. of Technol., Atlanta, GA, USA;
This paper appears in: Knowledge and Data Engineering, IEEE Transactions on
Publication Date: July 2004
Volume: 16,
Issue: 7
On page(s): 843- 857
ISSN: 1041-4347
INSPEC Accession Number: 8012832
Digital Object Identifier: 10.1109/TKDE.2004.1318566
Current Version Published: 2004-08-02
Abstract
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. We present 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.
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