| Title | An Algorithm of Optimal Penetration Path Generation under Unknown Attacks of Electric Power WEB System Based on Knowledge Graph |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Wang, Wenhui, Han, Longxi, Ge, Guangkai, Yang, Zhenghao |
| Conference Name | 2021 2nd International Conference on Computer Communication and Network Security (CCNS) |
| Date Published | jul |
| Keywords | attack graph, Attack Graphs, Complexity theory, composability, computer security, Knowledge engineering, knowledge graph, Network security, Ontologies, ontology desig, optimal penetration path, Power systems, power WEB system, Predictive Metrics, pubcrawl, Resiliency |
| Abstract | Aiming at the disadvantages of traditional methods such as low penetration path generation efficiency and low attack type recognition accuracy, an optimal penetration path generation algorithm based on the knowledge map power WEB system unknown attack is proposed. First, establish a minimum penetration path test model. And use the model to test the unknown attack of the penetration path under the power WEB system. Then, the ontology of the knowledge graph is designed. Finally, the design of the optimal penetration path generation algorithm based on the knowledge graph is completed. Experimental results show that the algorithm improves the efficiency of optimal penetration path generation, overcomes the shortcomings of traditional methods that can only describe known attacks, and can effectively guarantee the security of power WEB systems. |
| DOI | 10.1109/CCNS53852.2021.00034 |
| Citation Key | wang_algorithm_2021 |
An Algorithm of Optimal Penetration Path Generation under Unknown Attacks of Electric Power WEB System Based on Knowledge Graph