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A Dynamic Cooperative Monitor Node Selection Algorithm in Wireless Mesh Networks

机译:无线网状网络中的动态协作监控节点选择算法

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摘要

Wireless Mesh Network (WMN) is developed as an emerging key solution for wireless broadband connectivity through a flexible and cost-effective way. However, due to the lack of a physical line of defense, the security in such a network is a big concern. Intrusion Detection System (IDS) is considered as one of the most effective security mechanisms in WMN. Traditionally, IDS is operated on the monitor nodes that cooperatively identify and assess intrusions by analyzing their collected network data. Therefore, most IDS mechanisms need to choose a large number of monitor nodes for good rapidity and accuracy, which increases overhead and degrades network performance. In this paper, we propose a dynamic cooperative monitor node selection scheme based on social network analysis to solve the above issue. In the scheme, we choose the monitor nodes according to their influence in the network, which is evaluated by the relationship among the nodes and the analysis of mutual information. Then, the nodes with similar information are divided into the same monitor area. Simulation results show that the proposed scheme can effectively reduce network cost compared with the traditional node section schemes.
机译:无线网状网络(WMN)通过灵活且经济高效的方式开发为无线宽带连接的新兴关键解决方案。但是,由于缺乏物理防线,这种网络的安全性是一个大问题。入侵检测系统(IDS)被认为是WMN中最有效的安全机制之一。传统上,IDS在监视节点上运行,这些监视节点通过分析收集到的网络数据来协同识别和评估入侵。因此,大多数IDS机制需要选择大量的监视节点才能获得良好的速度和准确性,这会增加开销并降低网络性能。为了解决上述问题,本文提出了一种基于社交网络分析的动态协作监控节点选择方案。在该方案中,我们根据监视节点在网络中的影响来选择监视节点,该监视节点通过节点之间的关系和相互信息的分析来评估。然后,将具有类似信息的节点划分到同一监视区域。仿真结果表明,与传统的节点分段方案相比,该方案可以有效降低网络成本。

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