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PowerTrust: A Robust and Scalable Reputation System for Trusted Peer-to-Peer Computing

Zhou, Runfang, Hwang, Kai·2007·IEEE Transactions on Parallel and Distributed Systems

Abstract

Peer-to-Peer (P2P) reputation systems are essential to evaluate the trustworthiness of participating peers and to combat the selfish, dishonest, and malicious peer behaviors. The system collects locally-generated peer feedbacks and aggregates them to yield the global reputation scores. Surprisingly, most previous work ignored the distribution of peer feedbacks. We use a trust overlay network (TON) to model the trust relationships among peers. After examining the eBay transaction trace of over 10,000 users, we discover a power-law distribution in user feedbacks. Our mathematical analysis justifies that power-law distribution is applicable to any dynamically growing P2P systems, either structured or unstructured. We develop a robust and scalable P2P reputation system, PowerTrust, to leverage the power-law feedback characteristics. The PowerTrust system dynamically selects small number of power nodes that are most reputable using a distributed ranking mechanism. By using a look-ahead random walk strategy and leveraging the power nodes, PowerTrust significantly improves in global reputation accuracy and aggregation speed. PowerTrust is adaptable to dynamics in peer joining and leaving and robust to disturbance by malicious peers. Through P2P network simulation experiments, we find significant performance gains in using PowerTrust. This power-law guided reputation system design proves to achieve high query success rate in P2P file-sharing applications. The system also reduces the total job makespan and failure rate in large-scale, parameter-sweeping P2P Grid applications.

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Metadata

Authors
Zhou, R., & Hwang, K.
Venue
IEEE Transactions on Parallel and Distributed Systems
Published
2007-04
Volume
18
Issue
4
Pages
460-473
ISSN
1045-9219 (ISSN-L)
OpenAlex
W2156937700
Cited by
728
References
42
FWCI
199.83
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: PowerTrust: A Robust and Scalable Reputation System for Trusted Peer-to-Peer Computing. https://app.cochat.ai/papers/10.1109/tpds.2007.1021
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Zhou, R., & Hwang, K. (2007). PowerTrust: A Robust and Scalable Reputation System for Trusted Peer-to-Peer Computing. IEEE Transactions on Parallel and Distributed Systems. https://doi.org/10.1109/tpds.2007.1021

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