FRTRUST：语义P2P网格中基于模糊信誉的信任管理模型
FRTRUST: a fuzzy reputation based model for trust management in semantic P2P grids
摘要：
网格和对等网络是实现文件共享的两种理想技术。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。使用此技术可以创建具有更大分布性和可扩展性的网络。语义网格作为网格网络的扩展出现，在网格网络中，丰富的资源元数据被揭示和清楚地处理。在语义P2P网格中，节点根据其服务之间的语义相似性聚集到不同的组中。本文提出了一种语义P2P网格中的信任管理信誉模型。我们使用模糊理论，在一个名为FR TRUST的信任覆盖网络模型的网络结构和存储的声誉信息。实际上，我们提出了一个语义P2P网格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，该级别可以是：低、中或高。我们的实验结果表明，FR TRUST结合低（因此可取的）一个良好的计算复杂性与高排名精度。
英文摘要：
Grid and peer-to-peer (P2P) networks are two ideal technologies for file sharing. A P2P grid is a special case of grid networks in which P2P communications are used for communication between nodes and trust management. Use of 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. In fact 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. Our experimental results demonstrate that FR TRUST combines low (and therefore desirable) a good computational complexity with high ranking accuracy.
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