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A New Algorithm to Defend Against Sybil Attack in Static Wireless Sensor Networks Using Mobile Observer Sensor Nodes

机译：使用移动观察者传感器节点的静态无线传感器网络中抵御Sybil攻击的新算法

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摘要

A well-known dangerous attacks against Wireless Sensor Networks (WSNs) is Sybil attack in which a malicious node propagates multiple fake identities. This attack affects routing protocols and many usual operations of WSNs including voting and data aggregation. In this paper, a novel algorithm has been proposed for detecting this attack in static WSNs. There are several mobile observer nodes in the proposed algorithm, which walk in the network's environment continuously. They first detect areas suspicious to Sybil attack and then record information about these areas in their memories. Using stored information, they will be able to detect Sybil nodes. The proposed algorithm is implemented using JSIM simulator and its efficiency has been compared to other existing algorithms in terms of true detection and false detection rates. The results show that the proposed algorithm can detect 99% of Sybil nodes on average, while the false detection rate is about 5%.
机译：针对无线传感器网络（WSN）的众所周知的危险攻击是Sybil攻击，其中，恶意节点传播多个假身份。这种攻击影响路由协议和WSN的许多常规操作，包括表决和数据聚合。本文提出了一种新颖的算法来检测静态WSN中的这种攻击。所提出的算法中有多个移动观察者节点，它们在网络环境中连续行走。他们首先检测可疑Sybil攻击的区域，然后将有关这些区域的信息记录在他们的记忆中。利用存储的信息，他们将能够检测Sybil节点。所提出的算法是使用JSIM模拟器实现的，在真实检测率和错误检测率方面，其效率已与其他现有算法进行了比较。结果表明，该算法平均可以检测到99％的Sybil节点，错误检测率约为5％。

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