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A Multi-dimensional Reputation System Combined with Trust and Incentive Mechanisms in P2P File Sharing Systems

机译:多维信誉系统与P2P文件共享系统中的信任和激励机制相结合

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Free-riders and fake files are two important problems in P2P file sharing systems. Previous works have always used incentive mechanisms and trust mechanisms to address them respectively. In real systems however, a trust mechanism without incentive would face lack of users' enthusiasm and thus cause sparse relationship of direct trust while an incentive mechanism without trust could induce users' bad behavior. A novel reputation system is proposed in this paper that combines trust and incentive mechanisms. It uses files' vote and retention time, down-load volume and users' rank to construct a more extensive direct trust relationship and calculates a user's reputation with a multi-trust algorithm. It can identify fake files and provide service differentiation with reputation. Implementation and some security consideration in DHT are also discussed.
机译:搭便车和假文件是P2P文件共享系统中的两个重要问题。以前的作品始终使用激励机制和信任机制来分别解决它们。然而,在实际系统中,没有激励的信任机制将面临缺乏用户的热情,从而导致直接信任的稀疏关系,而无信任的激励机制可能会引起用户的不良行为。在本文中提出了一种新的声誉系统,这些系统结合了信任和激励机制。它使用文件的投票和保留时间,下载量和用户排名来构建更广泛的直接信任关系,并通过多信任算法计算用户的声誉。它可以识别假文件并提供具有声誉的服务差异化。还讨论了DHT中的实施和一些安全考虑。

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