一种基于马尔科夫模型的网络安全风险实时分析方法

Real Time Analysis Method of Network Security Risk Based on Markov Model

针对网络风险实时分析的迫切需求,研究并设计了适用于实时风险概率预测的马尔科夫时变模型,提出了一种网络安全实时风险概率预测方法。该方法鲁棒性较强,能够反应波动数据变化规律,起到了进行实时风险分析的作用。用DRAPA2000数据集进行了仿真,结果表明该方法具有较高的实时性和准确性。

In view of the urgent need of real-time analysis of network risk,this paper studied and designed a Markov time variant model which is suitable for real-time risk probability prediction.The method has strong robustness and can react with the variation of the wave data,which has the effect of real time risk analysis.DRAPA2000 data sets were used to carry out simulation experiments to predict the probability of the network.The results show that the model mentioned in this paper has high real-time performance and accuracy.