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A Mobility and Energy-Aware Hierarchical Intrusion Detection System for Mobile Ad Hoc Networks

机译:用于移动自组织网络的移动性和能量感知分层入侵检测系统

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This paper presents a hierarchical cluster-based IDS architecture for Mobile Ad-hoc NETworks (MANETs) that considers the mobility and energy of nodes in the cluster formation in order to improve detection accuracy and reduce energy consumption. The proposed architecture adopts and enhances the Mobility and Energy Aware Clustering Algorithm (MEACA), which is the most appropriate for IDS in MANETs, since it aims at forming mobility aware and energy efficient 1-hop clusters. The algorithm maximizes the clusters' stability by choosing nodes with relatively low mobility and high energy to be the cluster-heads and keeping the constructed clusters unchanged to the extent of their maximum possible lifetime. The key advantage of the proposed IDS is that its detection accuracy is not affected from nodes mobility, since each cluster includes nodes with similar direction and speed. Thus, mobile nodes of the same cluster appear more static to each other eliminating cluster reformation, which negatively affects the detection accuracy. Moreover, the distribution of the detection load is based on the remaining energy in each node. Thus, nodes with adequate energy undertake more detection responsibilities than nodes with low power. In this way, the proposed IDS balances the energy consumption in a fair and efficient manner.
机译:本文提出了一种用于移动自组织网络(MANET)的基于集群的分层IDS体系结构,该体系结构考虑了集群形成中节点的移动性和能量,从而提高了检测精度并降低了能耗。拟议的体系结构采用并增强了移动性和能源感知集群算法(MEACA),该算法最适合于MANET中的IDS,因为它旨在形成移动感知和节能高效的一跳集群。该算法通过选择具有相对较低移动性和较高能量的节点作为簇头,并使构造的簇在其最大可能寿命范围内保持不变,从而最大化了簇的稳定性。提议的IDS的关键优势在于其检测精度不受节点移动性的影响,因为每个群集都包括具有相似方向和速度的节点。因此,同一群集的移动节点看起来彼此更加静态,从而消除了群集重新形成,这对检测精度产生了负面影响。此外,检测负载的分布基于每个节点中的剩余能量。因此,具有足够能量的节点比具有低功率的节点承担更多的检测责任。这样,建议的IDS可以公平有效地平衡能耗。

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