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Securing range free localization against wormhole attack using distance estimation and maximum likelihood estimation in Wireless Sensor Networks

机译:使用无线传感器网络中的距离估计和最大似然估计来确保无范围定位免受虫洞攻击

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摘要

Localization has always been considered to be an important factor in Wireless Sensor Networks (WSNs). Along with accuracy of the location estimation, the security of the location information is a critical issue in localization process. Moreover, as the network environment changes from static to mobile, the probability of the wormhole attack increases. Previous research suggests possible solutions but lag behind to find the applicability in the mobile environment and some of the algorithms are not suited for resource constrained WSNs. Therefore, in this paper we have developed a localization algorithm that prevents wormhole attack in mobile environment. The algorithm uses authentication process to identify any unauthorized nodes using distance estimation method and applies Maximum Likelihood Estimation (MLE) to calculate the required location. The comparison of our algorithm with other contemporary algorithms proves that this algorithm performs efficiently.
机译:本地化一直被认为是无线传感器网络(WSN)的重要因素。除了位置估计的准确性外,位置信息的安全性也是定位过程中的关键问题。而且,随着网络环境从静态变为移动,蠕虫攻击的可能性也会增加。先前的研究提出了可能的解决方案,但在移动环境中的适用性却滞后,并且某些算法不适用于资源受限的WSN。因此,在本文中,我们开发了一种定位算法,可防止移动环境中的虫洞攻击。该算法使用认证过程使用距离估计方法来识别任何未授权节点,并应用最大似然估计(MLE)来计算所需的位置。我们的算法与其他现代算法的比较证明了该算法的有效执行。

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