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A Reputation Management Scheme Based on Global Trust Model for Peer-to-Peer Virtual Communities

机译:基于对等虚拟社区的全局信任模型的声誉管理方案

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Peer-to-peer virtual communities are often established dynamically with peers that are unrelated and unknown to each other. Peers have to manage the risk involved with the transactions without prior knowledge about each other’s reputation. SimiTrust, a reputation management scheme, is proposed for P2P virtual communities. A unique global trust value, computed by aggregating similarity-weighted recommendations of the peers who have interacted with him and reflecting the degree that the community as a whole trusts a peer, is assigned to each peer in the community. Different from previous global-trust based schemes, SimiTrust does not need any pre-trusted peers to ensure algorithm convergence and invalidates the assumption that the peers with high trust value will give the honest recommendation. Theoretical analyses and experiments show that the scheme is still robust under more general conditions where malicious peers cooperate in an attempt to deliberately subvert the system, converges more quickly and decreases the number of inauthentic files downloaded more effectively than previous schemes.
机译:对等虚拟社区通常与对等体一起动态建立,同行彼此不相关。同行必须管理与交易所涉及的风险,而无需先验彼此的声誉。为P2P虚拟社区提出了一种声誉管理方案的Simitrust。独特的全局信任价值,通过汇总与他互动的同行的相似性加权建议,并反映社区作为整个对同行的程度的程度来分​​配给社区中的每个同行。与以前的全球信任的方案不同,Simitrust不需要任何可靠的对等体来确保算法会聚并使对等方具有高信任值的假设使得诚实推荐。理论分析表明,该方案在恶意对等体在尝试故意颠覆系统的情况下更快地收敛并减少比以前的方案更有效地下载的不复存在文件的数量更快的常规条件下仍然是强大的。

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