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Zone-Based Clustering for Intrusion Detection Architecture in Ad-Hoc Networks

机译:Ad-Hoc网络中基于区域的集群用于入侵检测架构

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Setting up an IDS architecture on ad-hoc network is hard because it is not easy to find suitable locations to setup IDS's. One way is to divide the network into a set of clusters and put IDS on each cluster head. However traditional clustering techniques for ad-hoc network have been developed for routing purpose, and they tend to produce duplicate nodes or fragmented clusters as a result of utilizing maximum connectivity for routing. Most of recent clustering algorithm for IDS are also based on them and show similar problems. In this paper, we suggest to divide the network first into zones which are supersets of clusters and to control the clustering process globally within each zone to produce more efficient clusters in terms of connectivity and load balance. The algorithm is explained in detail and shows about 32% less load concentration in cluster heads than traditional techniques.
机译:在临时网络上设置IDS架构很困难,因为要找到合适的位置来设置IDS并不容易。一种方法是将网络划分为一组群集,并将IDS放在每个群集头上。但是,出于路由目的,已经开发了用于自组织网络的传统群集技术,由于利用最大的连接性进行路由,它们倾向于产生重复的节点或碎片化的群集。最新的IDS聚类算法大多数也基于它们,并显示出类似的问题。在本文中,我们建议先将网络划分为群集的超集区域,并在每个区域内全局控制群集过程,以在连接性和负载平衡方面产生更有效的群集。该算法进行了详细说明,与传统技术相比,该算法显示出簇头中的负载集中度降低了约32%。

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