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首页> 外文期刊>International journal of technology and human interaction >D-S Evidence Theory Based Trust Detection Scheme in Wireless Sensor Networks
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D-S Evidence Theory Based Trust Detection Scheme in Wireless Sensor Networks

机译:无线传感器网络中基于D-S证据理论的信任检测方案

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摘要

Wireless sensor networks (WSNs) is a key technology which is deployed under the assumption that participating sensors are cooperative in forwarding each other's packets. However, some nodes may behave selfishly by dropping other's packets or refusing to provide services in an attempt to maximize its throughput with minimum expense. In this paper, the authors present a novel detection scheme based on Dempster-Shafer (D-S) evidence theory in WSN to detect and isolate misbehavior sensors. However, when the scheme is operated, counter-intuitive results may appear. To overcome this problem, this paper improves the original D-S evidence theory, which defines a new variable to modify the collected evidence before combination and then combines these evidences according to Dempster combination rule. Simulation results show that this scheme can detect and isolate misbehavior sensors effectively and accurately, suppress nodes collusion and improve network performance. Compared with other existing detection scheme, this scheme has more security, robustness and accuracy.
机译:无线传感器网络(WSN)是一项关键技术,它的前提是参与的传感器在相互转发对方的数据包时相互配合。但是,某些节点可能会丢掉其他人的数据包或拒绝提供服务,从而以最小的费用最大化其吞吐量,从而表现出自私的行为。在本文中,作者提出了一种基于WSN中的Dempster-Shafer(D-S)证据理论的新颖检测方案,用于检测和隔离不良行为传感器。但是,当该方案运行时,可能会出现违反直觉的结果。为了克服这个问题,本文改进了最初的D-S证据理论,该理论定义了一个新变量来在合并之前修改收集的证据,然后根据Dempster合并规则将这些证据合并。仿真结果表明,该方案可以有效,准确地检测和隔离不良行为传感器,抑制节点串通,提高网络性能。与其他现有检测方案相比,该方案具有更高的安全性,鲁棒性和准确性。

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