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A Distributed and Collaborative Intrusion Detection Architecture for Wireless Mesh Networks

机译:无线网状网络的分布式协作入侵检测架构

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Wireless Mesh Network (WMN) is an emerging heterogeneous network architecture that is growing in importance among traditional wireless communication systems as a cost-effective way of providing Internet services. However, WMNs are particularly vulnerable to malicious nodes given their inherent attributes such as decentralized infrastructure and high dependence of node cooperation. We then propose a distributed and Collaborative Intrusion Detection System (CIDS) architecture for detecting insider attacks at real-time, which comprises:i) a Routing Protocol Analyzer (RPA) to analyze the collected routing traffic and generate respective Routing Events; ii) a Distributed Intrusion Detection Engine (DIDE) that treats the Routing Events by applying Routing Constraints and calculate related Misbehaving Metrics; iii) a Cooperative Consensus Mechanism (CCM) to check the Misbehaving Metrics using a proposed threshold scheme and to track down the source of intrusion. The entire CIDS solution is implemented in a virtualized mesh network platform. The experimental results show the proposed CIDS architecture efficiently detects message fabrication attacks with good precision and low resource consumption.
机译:无线网状网络(WMN)是一种新兴的异构网络体系结构,在传统的无线通信系统中,作为提供Internet服务的一种经济高效的方法,其重要性日益提高。但是,WMN由于其固有的属性(例如分散的基础架构和节点合作的高度依赖性)而特别容易受到恶意节点的攻击。然后,我们提出了一种用于实时检测内部攻击的分布式协作入侵检测系统(CIDS)架构,其中包括:i)路由协议分析器(RPA),用于分析收集的路由流量并生成相应的路由事件; ii)分布式入侵检测引擎(DIDE),它通过应用路由约束来处理路由事件并计算相关的行为异常度量; iii)合作共识机制(CCM)使用建议的阈值方案检查行为异常指标并跟踪入侵源。整个CIDS解决方案都在虚拟化的网格网络平台中实现。实验结果表明,所提出的CIDS体系结构可以有效地检测消息制作攻击,并且精度高,资源消耗低。

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