首页> 外文期刊>International Journal on Informatics Visualization: JOIV >Using One-hop and Two-hop Neighbouring Information to Defend Against Sybil Attacks in Stationary Wireless Sensor Network
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Using One-hop and Two-hop Neighbouring Information to Defend Against Sybil Attacks in Stationary Wireless Sensor Network

机译:使用一个跳和两跳相邻信息来防止静止无线传感器网络中的Sybil攻击

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Considering the application of wireless sensor networks (WSNs) in critical areas like war fields, establishing security in these networks is of great challenge. One of the important and dangerous attacks in these networks is the Sybil attack. In this attack, a malicious node broadcasts several IDs simultaneously. Thus, the malicious node of the adversary attracts high traffic to itself and disrupts routing protocols and affects other operations of the network like data aggregation, voting, and resource allocation, negatively. In this paper, an efficient algorithm based on one-hop and two-hop neighborhood information is proposed to detect Sybil nodes in the stationary WSNs. The proposed algorithm is executed locally with the collaboration of neighboring nodes. The main purpose of the proposed algorithm is to increase the accuracy of detecting Sybil nodes under various conditions including the condition in which a malicious node broadcasts a few numbers of Sybil IDs which is the shortcoming of most existing algorithms. The proposed algorithm is simulated in MATLAB and its efficiency is compared with two similar algorithms in terms of true and false detection rates. The proposed algorithm not only reduces communication overhead but also increases the accuracy of detecting Sybil nodes compared to two similar algorithms.
机译:考虑到无线传感器网络(WSN)在战区的关键区域中的应用,在这些网络中建立安全性是出色的挑战。这些网络中的一个重要且危险的攻击之一是Sybil攻击。在此攻击中,恶意节点同时广播多个ID。因此,对手的恶意节点吸引了高流量,并扰乱了路由协议,并影响数据聚合,投票和资源分配的网络的其他操作。在本文中,提出了一种基于单跳和两跳邻域信息的有效算法来检测静止WSN中的Sybil节点。建议的算法在本地执行与相邻节点的协作执行。所提出的算法的主要目的是提高各种条件下检测Sybil节点的准确性,包括恶意节点广播几个Sybil ID的条件,这是大多数现有算法的缺点。在MATLAB中模拟所提出的算法,其效率与两个类似的算法进行比较,而是在真假检测速率方面的算法。所提出的算法不仅降低了通信开销,而且还增加了与两个类似算法相比检测Sybil节点的准确性。

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