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Multi-agent trust-based intrusion detection scheme for wireless sensor networks

机译:基于多功能信任的无线传感器网络的入侵检测方案

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摘要

In order to achieve both a higher detection rate and a lower false positive rate of internal node intrusion detection in layer-cluster wireless sensor networks, an intrusion detection scheme based on the use of both a multi-agent system and a node trust value is proposed. In this scheme, the multi-agent model framework is established in both the cluster heads and the ordinary sensor nodes to perform intrusion detection. First, various, typical node trust attributes are defined and Mahalanobis distance theory is used to judge whether these attributes are normal. Second, the node trust value is calculated and updated based on the combination of the Beta distribution and a tolerance factor. Finally, node intrusion detection is realized. Simulation results demonstrate that the modified scheme has a higher detection rate and a lower false positive rate, even when several types of intrusions are present. (C) 2017 Elsevier Ltd. All rights reserved.
机译:为了在层集群无线传感器网络中实现更高的检测率和内部节点入侵检测的较低假阳性速率,提出了一种基于多功能代理系统和节点信任值的侵入检测方案 。 在该方案中,在群集头和普通传感器节点中建立多代理模型框架以进行入侵检测。 首先,定义各种典型的节点信任属性,Mahalanobis距离理论用于判断这些属性是否正常。 其次,基于Beta分布和公差因子的组合来计算和更新节点信任值。 最后,实现了节点入侵检测。 仿真结果表明,即使存在几种类型的入侵,改性方案也具有较高的检测率和较低的假阳性率。 (c)2017 Elsevier Ltd.保留所有权利。

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