IT自动化运维平台大规模集群信息安全性建模分析  

Modeling and analysis of large-scale cluster information security of IT automation operation and maintenance platform

作　　者：方芳[1] 石王阳[1] FANG Fang;SHI Wangyang(School of Internet and Communication,Anhui Technical College of Mechanical and Electrical Engineering,Wuhu 241000,Anhui,China)

机构地区：[1]安徽机电职业技术学院互联网与通信学院,安徽芜湖241000

出　　处：《上海电机学院学报》2022年第2期106-111,共6页Journal of Shanghai Dianji University

摘　　要：网络在给人们带来方便的同时,也带来了信息安全风险。如何快速、有效地完成信息安全性评估,是值得研究的课题。现有方法未能对各个评估指标进行预处理,导致评估结果和实际结果偏差较大,评估复杂度增加。为此,构建了一种IT自动化运维平台大规模集群信息安全性评估模型。首先,建立集群信息安全性评估指标体系,搜索训练样本数据。然后,利用模糊系统,对安全性评估指标进行预处理。最后,利用蚁群算法优化支持向量机(SVM)参数,构建集群信息安全性评估模型。实验结果表明:构建的模型能够有效降低评估复杂度,获取满意的集群信息安全性评估结果。While the network brings convenience to people, it also brings information security risks. How to quickly and effectively complete the information security evaluation is a topic that is worth pursuing. The existing methods fail to preprocess each evaluation index, which leads to a large deviation between the evaluation results and the actual results and increased evaluation complexity. Therefore, a large-scale cluster information security evaluation model of IT automation operation and maintenance platform is constructed. Firstly, the cluster information security evaluation index system is established and the training sample data is searched. Then, the fuzzy system is used to preprocess the safety evaluation index. Finally, the parameters of the support vector machine(SVM) are optimized by the ant colony algorithm, and the cluster information security evaluation model is constructed. The experimental results show that the proposed model can effectively reduce the evaluation complexity and obtain satisfactory security evaluation results of the cluster information.

关 键 词：IT自动化运维平台 大规模集群信息 安全性建模分析 评估模型 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]