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需求评估响应下局域网虫洞攻击路径检测方法

Method for Detecting LAN Wormhole Attack Path under Demand Assessment Response
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摘要 目前虫洞攻击检测方法没有预测局域网虫洞攻击路径,存在检测成功率低、检测效率低和检测误判率高的问题。提出需求评估响应下局域网虫洞攻击路径检测方法,通过警告映射识别历史虫洞攻击路径并划分攻击等级,得出虫洞攻击概率分布,预测局域网虫洞攻击路径,并基于灰色理论方法将预测的虫洞攻击路径进行聚类评估,以获取虫洞攻击评估指标,评估路径灰类并判断其是否符合指标,获取评估结果实现虫洞攻击路径检测。实验结果表明,所提方法提高了局域网虫洞攻击路径检测能力。 At present, the wormhole attack detection method does not predict the wormhole attack path of LAN,which has the problems of low detection success rate, low detection efficiency and high detection misjudgment rate.Therefore, a local area network wormhole attack path detection method based on demand assessment response is proposed. According to the results of warning mapping, the historical wormhole attack path was identified and divided into attack levels, thus obtaining the wormhole attack probability distribution. Meanwhile, grey theory was introduced to cluster and evaluate the predicted wormhole attack paths for obtaining the wormhole attack evaluation index. The path gray class was also evaluated to judge whether it satisfies the index. At last, the evaluation result was obtained to detect the wormhole attack path. The experimental results show that this method can improve the detection ability of wormhole attack path in local area network.
作者 许宏云 李晗 XU Hong-yun;LI Han(Institute of Agricultural Economics and Information,Henan Academy of Agricultural Sciences,Zhengzhou Henan 450002,China;Schoolof Electronic and Information Engineering,Liaoning Universityof Technology,Liaoning Jinzhou 121000,China)
出处 《计算机仿真》 北大核心 2022年第4期366-370,共5页 Computer Simulation
基金 辽宁省博士科研启动基金计划项目(2019-BS-121)。
关键词 需求评估 局域网 虫洞攻击 攻击路径 路径预测 Needs assessment Local area network Wormhole attack Attack path Path prediction
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