移动无线传感器网络中发现重复攻击的椭圆曲线差分-赫尔曼算法

J. Shirisha, M. Rajkumar, D. Sangeetha, R. Sabitha, B. Kannan, S. Renukadevi
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引用次数: 0

摘要

无线传感器网络(WSN)是所有无线传感器节点中最易受影响的节点。在WSN中,竞争对手发起了几次大规模攻击。最大的问题是完全的攻击识别和避免节点重复。由于通过攻击者复制的相关身份和特征,识别和分离重复的传感器节点所需的时间通常比其他攻击识别方法要长。采用椭圆曲线Diffe-Hellman算法对移动无线传感器网络中的重复攻击进行检测。该方法旨在区分移动WSN中重复的传感器节点。在这种方法中,公钥和私钥用于验证。ECDD方法通过与密钥交互来区分重复的传感器节点,并将其从路由中分离出来,提高了网络功能。仿真结果表明,该方法具有较低的假阴性率,提高了网络中重复攻击的检测能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Elliptical Curve Diffe-Hellman Algorithm for discovering Duplication Attack in Mobile WSN
Wireless Sensor Network (WSN) is the greatest susceptible of all the wireless sensor nodes. In the WSN, several widespread attacks were launched in the rival world. The most problematic are complete attack identification and avoidance of node duplication. The period it takes to recognize and separate a duplicated sensor node is typically higher than other attack recognition methods owing to the related identity and features copied through the attacker. Elliptical Curve Diffe-Hellman Algorithm is employed for discovering duplication attack (ECDD) in Mobile WSN. This approach aims to distinguish duplicated sensor nodes in the mobile WSN. In this approach, the public and private keys are used for verification. The ECDD method interacts with the secret key to distinguish the duplicate sensor node and separate it from routing, raising the network function. The simulation examination demonstrates a lesser false negative ratio and increases duplicate attack detection in the network.
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