English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

王 笑 李千目 戚 湧 (南京理工大学计算机科学与工程学院 南京210094)  摘 要 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。 关键词 安全风险预测,马尔科夫,时变模型,DRAPA2000 中图法分类号 TP393.08 文献标识码 A  Real Time Analysis Method of Network Security Risk Based on Markov Model WANG Xiao LI Qian-mu QI Yong (School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China)  Abstract 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.DRAPA2000data 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.

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).