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Behavior Trust Evaluation for Node in WSNs with Fuzzy-ANP Method

机译:基于模糊ANP方法的无线传感器网络节点行为信任评估

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Security is one of the most important issues of wireless sensor networks (WSNs). The characteristic of WSNs resulted that the traditional methods will not suitable. Trust management is considered as the effective supplement of traditional cryptography security,it has been widely studied in peer-to-peer network,the grid,and the pervasive computing environment. The issue of trust research in WSNs,the evaluation of nodes is primarily through observing the behavior of them,so the focus of the study is to translate the ambiguous and abstract concept of the trust into quantifiable,specific indicators to be evaluated. As the ANP (analytic network process) method can be fully and accurately reflect the relationship between the objects,so it is used to analyze the relationship which is dependent and feedback among the properties on node. And then create the ANP model. As people's subjective judgments has uncertainty and ambiguity in comparing judgment among elements,with triangular fuzzy number the paper proposed the trust evaluation for node in WSNs which based on Fuzzy-ANP(F-ANP). Finally an example shows how to use the method and the effects are described through analysis and data simulation.
机译:安全性是无线传感器网络(WSN)的最重要问题之一。无线传感器网络的特点导致传统方法不适合。信任管理被认为是传统密码学安全性的有效补充,在对等网络,网格和普适计算环境中已得到广泛研究。在无线传感器网络中,信任研究主要是通过观察节点的行为来进行的,因此研究的重点是将模糊,抽象的信任概念转化为可量化的,具体的指标进行评估。由于ANP(解析网络过程)方法可以完全准确地反映对象之间的关系,因此可用于分析依赖关系以及节点属性之间的反馈。然后创建ANP模型。由于人们的主观判断在元素间比较中存在不确定性和歧义性,因此本文提出了基于模糊ANP(F-ANP)的三角模糊数WSN节点信任度评估方法。最后通过一个例子说明如何使用该方法,并通过分析和数据模拟来描述效果。

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