Research on Security Situation Prediction of Equipment Support Information Network Based on Bayesian Network

被引：0
|
作者：
Li, Xi [1 ]
Lu, Yu [1 ]
Liu, Sen [2 ]
机构：
[1] Army Engn Univ, Informat Engn Dept, Shijiazhuang 050003, Hebei, Peoples R China
[2] 54th Res Inst CETC, Shijiazhuang 050200, Hebei, Peoples R China
来源：
PROCEEDINGS OF 2017 8TH IEEE INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING AND SERVICE SCIENCE (ICSESS 2017) | 2017年
关键词：
equipment support information network; situation prediction; Bayesian network; attack graph;
D O I：
暂无
中图分类号：
TP31 [计算机软件];
学科分类号：
081202 ; 0835 ;
摘要：
According to the characteristics of equipment support information network, this paper proposes a network security situation prediction model based on attack graph and Bayesian network. This paper proposes a global attack graph generation algorithm based on the forward search algorithm, and proposes an optimization scheme to solve the attack loop problem. A method for calculating the node probability of attack graph is proposed by using Bayesian network. The experimental results show that the model can accurately predict the security situation of the equipment support information network. The calculation results are more objective and practical because of adding the equipment weight information.
引用
收藏
页码：869 / 873
页数：5
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