基于浮动域值法的物联网安全协方差盲检测  

Internet-Based Security Covariance Blind Detection Based on Floating Domain Value Method

作　　者：徐伟[1,2] 李佟鸿[1] XU Wei;LI Tong-hong(Department of Information Technology,Hubei University of Police,Wuhan Hubei 430034,China;Wuhan Universtity,Wuhan Hubei 430072,China)

机构地区：[1]湖北警官学院信息技术系,湖北武汉430034 [2]武汉大学,湖北武汉430072

出　　处：《计算机仿真》2020年第3期440-444,457,共6页Computer Simulation

基　　金：2018年度湖北省教育科学规划重点课题(2018GA041);2017年度教育部人文社会科学研究规划基金课题(17YJAZH043);2017年度湖北省普通本科高校"荆楚卓越人才"协同育人计划项目(鄂教高函20172957)。

摘　　要：由于传统物联网安全检测方法的安全域值具有固定化特性,导致检测结果误差较高。提出基于浮动域值法的物联网安全协方差盲检测方法。分析物联网应用的拓扑结构,通过浮动域值法获取网络安全曲线,通过网络安全曲线组建物联网安全模型。利用协方差矩阵构建差值系数组方程,将通过估计获取的差值系数组建向量空间,采用支持向量机作为分类工具,实现物联网安全盲检测。仿真结果表明,所提方法具有较强的适应性以及鲁棒性,能够高效率、高精度完成物联网安全检测。Due to the immobilization feature of threshold value of traditional Internet of things security detection methods,the error of results is high.Therefore,a blind detection method of Internet of things security covariance based on floating threshold method was proposed.The topology of application was analyzed.The network security curve was obtained by the floating threshold method.The network security model was built by network security curve.The covariance matrix was used to construct the equations of difference coefficients.The vector space was constructed by estimating the difference coefficients.Finally,the support vector machine was used as the classification tool to complete the blind detection for Internet of things security.Simulation results prove that the proposed method has strong adaptability and robustness,so it is able to complete the Internet of things security detection with high efficiency and precision.

关 键 词：浮动域值法 物联网安全 协方差盲检测 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]