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DETECTING WORMHOLE ATTACKS IN WIRELESS SENSOR NETWORKS USING HOP COUNT ANALYSIS

机译:使用跳数分析检测无线传感器网络中的蠕虫攻击

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The wormhole attack is a severe threat to wireless sensor networks. Most existingcountermeasures for detecting and locating wormhole links either require extra hardware or are toocomplex for the inherently capability-constrained sensor nodes. Actually, wormhole links canenormously change the original sensor network topology. In this paper, we introduce the HCA4DWmechanism for detecting and locating wormholes in wireless sensor networks. It is based on the basicidea that the change of topology can be detected through neighborhood validation. We discover themaximum necessary hop count between the sensors in the same neighbor set for neighborhoodvalidation. We describe the detail procedure of HCA4DW in this paper and test the performance of theHCA4DW mechanism rigorously through simulative experiments.
机译:虫洞攻击是对无线传感器网络的严重威胁。大多数现有的用于检测和定位虫洞链接的对策要么需要额外的硬件,要么对于固有的受能力限制的传感器节点而言过于复杂。实际上,虫洞链接会极大地改变原始的传感器网络拓扑。在本文中,我们介绍了用于检测和定位无线传感器网络中虫洞的HCA4DW机制。基于基本思想,可以通过邻域验证来检测拓扑的变化。我们发现在同一邻居集合中用于邻域验证的传感器之间的最大必要跳数。我们在本文中描述了HCA4DW的详细过程,并通过模拟实验严格测试了HCA4DW机制的性能。

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