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作 者:王超[1] WANG Chao(School of Data Science and Technology,North University of China,Taiyuan Shanxi 030051,China)
出 处:《计算机仿真》2020年第4期317-321,共5页Computer Simulation
摘 要:针对传统非均匀节点分布网络能量空洞攻击抑制方法存在抑制效果差、响应时间长、能量空洞攻击抑制性能较差的问题,提出非均匀节点分布网络能量空洞攻击抑制方法。为了有效识别非均匀节点分布网络能量空洞攻击,需要获取OpenFlow交换机的流表项,分析非均匀节点分布下网络能量空洞攻击的特性,获取和非均匀节点分布网络能量空洞攻击相关的流表特征,根据相关特征的变化,对相关的训练样本进行分类,完成非均匀节点分布网络能量空洞攻击检测;根据检测结果,选用网络半径和数据流量监测,组建非均匀节点分布网络能量空洞攻击抑制模型,通过所组建的模型对不同类型的非均匀节点分布网络能量空洞攻击进行有效抑制。实验结果表明,所提方法的抑制效果较好,在不同节点数量下的响应时间较短,能量空洞攻击抑制性能较强。In this article, a method to suppress energy hole attacks in non-uniform node distribution network was proposed. In order to effectively identify the energy hole attacks in non-uniform node distribution network, it is necessary to obtain the flow table items of OpenFlow switch and analyze the characteristics of energy hole attack under non-uniform node distribution, so as to find the flow table characteristics related to the energy hole attack in non-uniform node distribution network. According to the changes of relevant characteristics, relevant training samples were classified, and thus to complete the detection of energy hole attacks in non-uniform node distribution network. On the basis of detection results, the network radius and data flow detection were selected to build a suppression model of energy hole attack in non-uniform node distribution network. Finally, different types of energy hole attacks were effectively suppressed by this model. Simulation results show that the proposed method has better suppression effect and shorter response time under different numbers of nodes. Meanwhile, this method has better ability to suppress the energy-hole attacks.
分 类 号:TP393[自动化与计算机技术—计算机应用技术]
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