摘要
建立了网络安全态势感知的分层实现模型,并针对每个层次提出了基于多分类器融合的安全态势提取方法、基于统计学习的分层态势评估方法以及基于遗传神经网络态势的动态预测方法。经仿真实验验证,每个层次的实现方法都是可行有效的。
Network security situation awareness technology is a novel technology to defend attacks and intrusions and provide global network security situation in an active and real-time style. The hierarchical realization model of network security situation awareness is built. The corresponding realization method of each layer is put forward respectively, including network security situation element extraction based on multi-classifier fusion, hierarchical situation assessment based on statistical learning and dynamic situation prediction based on back propagation neural network with genetic algorithm. Experimental results show that the proposed realization methods are feasible and reasonable.
出处
《武汉大学学报（信息科学版）》
EI
CSCD
北大核心
2008年第10期995-998,共4页
Geomatics and Information Science of Wuhan University
基金
国家863计划资助项目(2007AA01Z401)
国家教育部高校博士点专项基金资助项目(20050217007)
关键词
网络安全
态势感知
要素提取
态势评估
态势预测
network security
situation awareness
element extraction
situation assessment
situation prediction
