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一种基于马尔科夫模型的网络安全风险实时分析方法
引用本文:王笑,李千目,戚湧.一种基于马尔科夫模型的网络安全风险实时分析方法[J].计算机科学,2016,43(Z11):338-341.
作者姓名:王笑  李千目  戚湧
作者单位:南京理工大学计算机科学与工程学院 南京210094,南京理工大学计算机科学与工程学院 南京210094,南京理工大学计算机科学与工程学院 南京210094
基金项目:本文受中央高校基本科研业务费专项资金(30916015104),中兴通讯产学研合作论坛合作项目:基于马尔可夫时变模型的流量数据挖掘技术研究(2016ZTE04-11)资助
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

Real Time Analysis Method of Network Security Risk Based on Markov Model
WANG Xiao,LI Qian-mu and QI Yong.Real Time Analysis Method of Network Security Risk Based on Markov Model[J].Computer Science,2016,43(Z11):338-341.
Authors:WANG Xiao  LI Qian-mu and QI Yong
Affiliation:School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China,School of Computer Science and Engineering,Nanjing University of Science and Technology,Nanjing 210094,China and 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.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.
Keywords:Security risk prediction  Markov  Time varying model  DRAPA2000
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