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FR trust: a fuzzy reputation-based model for trust management in semantic P2P grids

机译:FR信任:语义P2P网格中基于模糊信誉的信任管理模型

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摘要

A P2P grid is a special case of grid networks in which P2P communications are used for communication between nodes and trust management. This technology allows creation of a network with greater distribution and scalability. Semantic grids have appeared as an expansion of grid networks in which rich resource metadata are revealed and clearly handled. In a semantic P2P grid, nodes are clustered into different groups based on the semantic similarities between their services. This paper proposes a reputation model for trust management in a semantic P2P grid. We use fuzzy theory, in a trust overlay network named FR TRUST that models the network structure and the storage of reputation information. We present a reputation collection and computation system for semantic P2P grids. The system uses fuzzy theory to compute a peer trust level, which can be either: low, medium, or high. Experimental results demonstrate that FR TRUST combines desirable good computational complexity with high-ranking accuracy.
机译:P2P网格是网格网络的一种特殊情况,其中P2P通信用于节点之间的通信和信任管理。该技术允许创建具有更大分布和可伸缩性的网络。语义网格作为网格网络的扩展而出现,在网格网络中,丰富的资源元数据被揭示并得到了清晰的处理。在语义P2P网格中,基于节点之间服务之间的语义相似性,将节点分为不同的组。本文提出了一种语义P2P网格中信任管理的信誉模型。我们在名为FR TRUST的信任覆盖网络中使用模糊理论,该模型对网络结构和信誉信息的存储进行建模。我们提出了一种语义P2P网格的信誉收集和计算系统。该系统使用模糊理论来计算对等信任级别,可以是:低,中或高。实验结果表明,FR TRUST将所需的良好计算复杂性与高排名准确性结合在一起。

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