基于隐马尔可夫模型的网络动态风险评估  

Based on Hidden Markov Model Network Dynamic Risk Assessment

作　　者：李胜现[1] 刘建华[1] 

机构地区：[1]西安邮电学院信息安全研究中心,陕西西安710061

出　　处：《科技信息》2010年第5期80-81,共2页Science & Technology Information

摘　　要：网络信息的广泛传播导致在传播的过程中出现大量的隐患,对网路安全构成很大的威胁,实时有效的对网络进行动态风险评估变得十分必要。在隐马尔可夫模型的基础上借助于攻击威胁度及遗传算法,并借鉴风险量化的概念对风险评估算法进行了改进,实时有效地提高了评估的可靠性。此外,通过理论分析加以试验检验了此改进方法的时效性。Network information dissealination process resulted in the spread of a large number of the hidden dangers of the Internet pose a great threat, real-time dynamic and effective network risk assessment has become very necessary. In the hidden Markov moded based on the threat of attack by means of degrees and genetic algorithms, and drawing on the concept of risk to quantify the risk assessment algorithm has been improved, realtime to effectively improve the reliability of the assessment. In addition,be tested by theoretical analysis examined the timeliness of this improved method.

关 键 词：动态风险评估 隐马尔可夫模型 风险量化 攻击威胁度 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]