基于信息挖掘技术的网络信息安全风险预测  

Network Information Security Risk Prediction Basedon Information Mining Technology

作　　者：王颖[1] WANG Ying(Department of Basic Courses,Zaozhuang Vocational College of Science&Technology,Tengzhou 277599,Shandong,China)

机构地区：[1]枣庄科技职业学院基础部,山东滕州277599

出　　处：《兰州文理学院学报（自然科学版）》2020年第4期57-61,共5页Journal of Lanzhou University of Arts and Science(Natural Sciences)

基　　金：2018年山东省教育教学研究课题:基于精品资源共享课程的开发与共享提升职业教育社会服务功能的研究与实践(2018JXY2082);2019年山东省教育科学十三五规划课题:信息技术与护理教学深度融合破解护理技能培养难题的创新实践研究(ZZ2019059);2018年教育部职业院校信息化教学指导委员会研究课题:信息技术在中高职衔接(3+2)护生实习期教学管理的应用研究——以枣庄科技职业学院为例(2018LXB0213)。

摘　　要：为了提高无线异构多传感蜂窝网络的安全性,需要进行网络信息安全风险预测,提出基于信息挖掘技术的网络信息安全风险预测模型.首先,构建无线异构多传感蜂窝网络信息安全风险的数据分析模型,提取反映信息安全风险的模糊特征量,并采用无线传感器网络信息融合跟踪识别方法.然后,进行无线异构多传感蜂窝网络传输信息的自适应融合和特征聚类,结合模糊判决方法进行网络信息安全风险的优化判决,实现网络信息安全风险评价和优化决策,提高网络信息安全风险预测的稳定性和自适应性.仿真结果表明,采用该方法进行网络信息安全风险预测的精度较高,预测过程的收敛性较好,提高了网络信息安全性.In order to improve the security of wireless heterogeneous multi-sensor cellular network,network information security risk prediction is needed.In this paper,a network information security risk prediction model based on information mining technology is proposed,in which the data analysis model of wireless heterogeneous multi-sensor cellular network information security risk is constructed,and the fuzzy feature quantity reflecting the information security risk is extracted,furthermore,the adaptive fusion and feature clustering of the transmission information in wireless heterogeneous multi-sensor cellular network are carried out by using the tracking and identification method of information fusion in wireless sensor network,and the optimization judgment of network information security risk is carried out combining with fuzzy decision method to achieve network information security risk assessment and optimization decision-making and to improve the stability and adaptability of network information security risk prediction.The simulation results show that the accuracy of network information security risk prediction is higher,the convergence of the prediction process is better,and the network information security is improved.

关 键 词：信息挖掘技术 网络信息 安全风险 预测 特征量 

分 类 号：TP393[自动化与计算机技术—计算机应用技术]