Cyber Attacks Prediction Model Based on Bayesian Network

被引：27
|
作者：
Wu, Jinyu [1 ]
Yin, Lihua [1 ]
Guo, Yunchuan [1 ]
机构：
[1] Chinese Acad Sci, Inst Informat Engn, Beijing, Peoples R China
来源：
PROCEEDINGS OF THE 2012 IEEE 18TH INTERNATIONAL CONFERENCE ON PARALLEL AND DISTRIBUTED SYSTEMS (ICPADS 2012) | 2012年
关键词：
network security; quantitative assessment; cyber attacks prediction; attack graph; Bayesian network; GRAPHS;
D O I：
10.1109/ICPADS.2012.117
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Cyber attacks prediction is an important part of risk management. Existing cyber attacks prediction methods did not fully consider the specific environment factors of the target network, which may make the results deviate from the true situation. In this paper, we propose a cyber attacks prediction model based on Bayesian network. We use attack graphs to represent all the vulnerabilities and possible attack paths. Then we capture the using environment factors using Bayesian network model. Cyber attacks predictions are performed on the constructed Bayesian network. Experimental analysis shows that our method gets more accurate results.
引用
收藏
页码：730 / 731
页数：2
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