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2021-01-25
Feng, Y., Sun, G., Liu, Z., Wu, C., Zhu, X., Wang, Z., Wang, B..  2020.  Attack Graph Generation and Visualization for Industrial Control Network. 2020 39th Chinese Control Conference (CCC). :7655–7660.
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.