Attack Graph Generation and Visualization for Industrial Control Network

被引：0
|
作者：
Feng, Yanli [1 ,2 ]
Sun, Gongliang [1 ,2 ]
Liu, Zhiyao [3 ]
Wu, Chenrui [1 ,2 ]
Zhu, Xiaoyang [1 ,2 ]
Wang, Zibo [1 ,2 ]
Wang, Bailing [1 ,2 ]
机构：
[1] Harbin Inst Technol Weihai, Sch Comp Sci & Technol, Weihai 264200, Peoples R China
[2] Harbin Inst Technol Weihai, Res Inst CyberSpace Secur, Weihai 264209, Peoples R China
[3] China Ind Control Syst Cyber Emergency Response T, Beijing 100040, Peoples R China
来源：
PROCEEDINGS OF THE 39TH CHINESE CONTROL CONFERENCE | 2020年
基金：
国家重点研发计划;
关键词：
Industrial control network; attack graph; vulnerability classification and correlation; large-scale visualization;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Attack graph is an effective way to analyze the vulnerabilities for industrial control networks. We develop a vulnerability correlation method and a practical visualization technology for industrial control network. First of all, we give a complete attack graph analysis for industrial control network, which focuses on network model and vulnerability context. Particularly, a practical attack graph algorithm is proposed, including preparing environments and vulnerability classification and correlation. Finally, we implement a three-dimensional interactive attack graph visualization tool. The experimental results show validation and verification of the proposed method.
引用
收藏
页码：7655 / 7660
页数：6
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