基于隐马尔可夫模型的网络动态风险评估

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。

Based on Hidden Markov Model Network Dynamic Risk Assessment

Network information dissemination 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 model 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,real-time to effectively improve the reliability of the assessment.In addition,be tested by th...