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首页> 外文期刊>IEEE Transactions on Parallel and Distributed Systems >PowerTrust: A Robust and Scalable Reputation System for Trusted Peer-to-Peer Computing
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PowerTrust: A Robust and Scalable Reputation System for Trusted Peer-to-Peer Computing

机译：PowerTrust：可靠的可扩展点对点计算信誉系统

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摘要

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.
机译：对等（P2P）信誉系统对于评估参与对等方的可信度以及与自私，不诚实和恶意的对等行为作斗争至关重要。该系统收集本地生成的对等反馈并将其汇总以产生全球声誉分数。令人惊讶的是，大多数以前的工作都忽略了对等反馈的分布。我们使用信任覆盖网络（TON）来建模对等方之间的信任关系。在检查了超过10,000个用户的eBay交易记录之后，我们发现了用户反馈中的幂律分布。我们的数学分析证明，幂律分布适用于任何动态增长的P2P系统（结构化或非结构化）。我们开发了强大且可扩展的P2P信誉系统PowerTrust，以利用幂律反馈特性。 PowerTrust系统使用分布式排名机制动态选择最有信誉的少量电源节点。通过使用先行随机游走策略并利用电源节点，PowerTrust大大提高了全球声誉准确性和聚合速度。 PowerTrust可以适应对等体加入和离开的动态变化，并能抵抗恶意对等体的干扰。通过P2P网络仿真实验，我们发现使用PowerTrust可以显着提高性能。事实证明，这种基于幂律的信誉系统设计在P2P文件共享应用程序中实现了很高的查询成功率。该系统还减少了大规模的参数扫描P2P Grid应用程序的总工期和故障率。

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