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Self-nominating trust model based on hierarchical fuzzy systems for peer-to-peer networks

机译:基于分层模糊系统的对等网络自提名信任模型

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Security is one of the most critical constraints for the expansion of P2P networks. The autonomy, dynamic and distribution natures benefit both valid and malicious users. Exploiting a reputation-based trust model is a feasible solution in such an open environment to build trust relationship among peers. While most of the existing trust models focus on decreasing the abuse, intentions and sharing capabilities of peers are mostly ignored. In this paper, we present a self-nominating trust model based on Hierarchical Fuzzy Systems to quantify the activities of peers. We integrate the reputation based on eight factors. Three promising factors are provided by resource holder to demonstrate their desires. Four capability factors are recorded by requester to identify the provider's service capability. In addition, another security factor is adopted to evaluate the peers' trust on security. Experiments illustrate that our trust model improves the efficiency and security of P2P systems.
机译:安全性是扩展P2P网络的最严重约束之一。自治,动态和分发性质有利于有效和恶意的用户。利用基于声誉的信任模型是在这种开放环境中的可行解决方案,以在对等体之间构建信任关系。虽然大多数现有的信任模型都集中在减少滥用,但同行的意图和共享能力主要被忽略。在本文中,我们基于分层模糊系统的自提名信任模型量化对等体的活动。我们根据八个因素整合声誉。资源持有人提供了三个有希望的因素来证明他们的欲望。请求者记录四种能力因素,以确定提供者的服务能力。此外,采用另一个安全因素来评估同行对安全的信任。实验说明我们的信任模型提高了P2P系统的效率和安全性。

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