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A trust rating classification model in P2P resource discovery

机译:P2P资源发现中的信任等级分类模型

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This paper begins with an analysis of the defects of low efficiency and weak security of P2P network in the resource discovery, followed by the design of a trust rating classification model of vertically hierarchical structure and horizontal sub-domain. On the basis of the model that the all the nodes are divided into different layers vertically and different sub-domains horizontally, a classification algorithm of resource creditability is presented. The simulation experiment shows that this algorithm improves the efficiency and precision and enhances the security in P2P resource discovery.
机译:本文首先分析了资源发现中P2P网络效率低下和安全性弱的缺陷,然后设计了垂直分层结构和水平子域的信任等级分类模型。在将所有节点垂直划分为不同层,水平划分为不同子域的模型的基础上,提出了资源可信度的分类算法。仿真实验表明,该算法提高了效率和精度,增强了P2P资源发现的安全性。

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