现代电子技术2011，Vol.34Issue(3)：76-77,80,3.
基于改进隐马尔可夫模型的网络动态风险评估
Dynamic Risk Assessment Network Based on Improved Hidden Markov Model
李胜现 1田东平 2刘建华3
作者信息
- 1. 西安邮电学院通信与信息工程学院,陕西西安710061
- 2. 西安建筑科技大学,陕西西安710055
- 3. 西安邮电学院计算机学院,陕西西安,710061
- 折叠
摘要
Abstract
The network risk assessment is foundation and premise of network system safety management, the network risk assessment method is a key technology of the network risk assessment, the appraisal method impacts the final outcome of the assessment directly.The timeliness of traditional network risk assessment method is bad.The hidden Markov model used in risk assessment can enhance the timeliness.The improved ant colony algorithm is adopted to train the hidden Markov model (HMM) , and the trained model has higher recognition capability.This method has a better test result based on the realistic data's experiment tests.关键词
风险评估/隐马尔可夫模型(HMM)/蚁群算法/Snort系统分类
信息技术与安全科学引用本文复制引用
李胜现,田东平,刘建华..基于改进隐马尔可夫模型的网络动态风险评估[J].现代电子技术,2011,34(3):76-77,80,3.
