现代电子技术2017，Vol.40Issue(7)：81-84,4.DOI:10.16652/j.issn.1004-373x.2017.07.022
一种信息系统安全的自适应监测与评估方法
An adaptive monitoring and evaluation method of information system security
张吉生 1吴旻荣 1党引 1任东晓 1沈青1
作者信息
- 1. 国网宁夏电力公司 信息通信公司,宁夏 银川 750000
- 折叠
摘要
Abstract
Aiming at the characteristics of the network intrusion,an intrusion risk identification model based on support vector machine(SVM)is proposed. The SVM model and the optimization method of the hybrid artificial bee colony(HABC)are used to overcome the problems of premature convergence and local minimum existing in the algorithm. The attack effect of the network intrusion information system can be recognized automatically with this model,and the information system risk assess-ment of network intrusion can be obtained effectively. The experimental results show that the SVM model optimized with HABC has higher accuracy than that of the traditional danger intrusion identification models,faster convergence rate and stronger genera-lization ability,and the feasibility and effectiveness of the proposed method are verified.关键词
安全监测/混合人工蜂群算法/支持向量机/信息安全/风险评估Key words
safety monitoring/hybrid artificial bee colony algorithm/support vector machine/information security/risk assessment分类
信息技术与安全科学引用本文复制引用
张吉生,吴旻荣,党引,任东晓,沈青..一种信息系统安全的自适应监测与评估方法[J].现代电子技术,2017,40(7):81-84,4.
