Visible to the public Attack Graph Generation and Visualization for Industrial Control Network

TitleAttack Graph Generation and Visualization for Industrial Control Network
Publication TypeConference Paper
Year of Publication2020
AuthorsFeng, Y., Sun, G., Liu, Z., Wu, C., Zhu, X., Wang, Z., Wang, B.
Conference Name2020 39th Chinese Control Conference (CCC)
Keywordsattack graph, attack graph algorithm, attack graph generation, Attack Graphs, complete attack graph analysis, composability, computer network security, Correlation, data visualisation, Downlink, Firewalls (computing), graph theory, industrial control, Industrial control network, integrated circuits, large-scale visualization, network model, Network topology, Predictive Metrics, pubcrawl, Resiliency, three-dimensional interactive attack graph visualization tool, Uplink, visualization technology, vulnerability classification and correlation, vulnerability correlation method
AbstractAttack 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.
Citation Keyfeng_attack_2020