基于BAYES网络安全态势评价模型的研究  

Research on the Bayesian Network Security Situation Evaluation Model

作　　者：刘滔[1] LIU Tao(Development Planning Office,Hunan Petrochemical Vocational Technology College,Yueyang 414012,China)

机构地区：[1]湖南石油化工职业技术学院发展规划处,湖南岳阳414012

出　　处：《微型电脑应用》2021年第5期133-134,137,共3页Microcomputer Applications

摘　　要：当今社会互联网技术高速发展,并得到了快速的推广和普及,互联网在带来便利的同时也存在很多安全隐患。针对此问题,在分析网络安全态势的基础上,构建基于贝叶斯的网络安全态势评价模型。首先,收集整理影响网络安全态势的指标数据,进行汇总整合;其次,对指标数据进行离散化处理,并进行分级分层处理;最后,建立贝叶斯网络,将分级分层过程中的底层指标逐渐向上融合,计算概率并修正贝叶斯网络,直至融合到安全态势层,进而实现对网络安全态势的评价,判断网络安全态势的程度及趋势。实验结果表明:建立的基于贝叶斯网络安全态势评价模型对网络安全态势的评价效果会更准确、有效,提高了网络运行环境的稳定性和可靠性。In current society,the Internet technology develops rapidly,While the Internet brings convenience,it also has many hidden security risks.In response to this problem,based on the analysis of the network security situation,a Bayesian network security situation evaluation model is constructed.Firstly,we collect and sort the index data that affect the network security situation.Secondly,we discretize the index data and perform hierarchical and hierarchical processing.Finally,we use expert knowledge and relevant experience to establish a Bayesian network to divide the levels.The underlying indicators in the layer process gradually merge upwards,we calculate the probability and modify the Bayesian network,until they are integrated into the security situation layer,and then realize the evaluation of the network security situation.The experimental results show that the established Bayesian network security situation evaluation model is more accurate and effective in evaluating the network security situation,and improves the stability and reliability of the network operating environment.

关 键 词：网络 安全态势 贝叶斯网络 评价 稳定性 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]