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Secure Hop-Count Based Localization in Wireless Sensor Networks

机译:无线传感器网络中基于安全跃点计数的本地化

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Many sensor network applications rely on sensors' location information.However,most of existing location algorithms assume a non-adversarial environment or assume beacons lying within l-hop.In this paper,we focus on Hop-Count based localization (multihop) and develop a Secure HOp- Count based LOCalization scheme,called SHOLOC,to make localization attack-resistant.In SHOLOC,we assume both ordinary nodes and beacon nodes can be moving,and the whole network periodically restarts localization.SHOLOC proposes a protocol to authenticate beacon information and protect hopcount from being arbitrary changed.SHOLOC employs beacon nodes to detect wormhole attacks.Theoretical analysis and simulation results are presented.Our conclusion also includes two interest findings: 1 )hop-count increment attacks are not effective to Hop-Count based algorithms,2)filter mechanisms such as least median squares (LMS) are not resistant to wormhole attacks,and our method of detecting at beacon nodes side works well.
机译:许多传感器网络应用程序都依赖于传感器的位置信息。但是,大多数现有的定位算法都假定非对抗环境或假定信标位于l-hop中。在本文中,我们重点研究基于Hop-Count的定位(多跳)并进行开发一种基于安全HOp Count的LOCaization方案,称为SHOLOC,以使本地化具有抗攻击性。在SHOLOC中,我们假设普通节点和信标节点都可以移动,并且整个网络会定期重新启动本地化。 SHOLOC利用信标节点检测蠕虫攻击。给出了理论分析和仿真结果。我们的结论还包括两个有趣的发现:1)跳数增量攻击对基于跳数的算法无效; 2)诸如最小中位数平方(LMS)之类的过滤器机制无法抵抗蠕虫洞攻击,而我们在信标节点侧进行检测的方法可以奏效二。

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