Research Article
A Novel Risk Assessment Method Based on Hybrid Algorithm for SCADA
@INPROCEEDINGS{10.1007/978-3-031-24386-8_1, author={Chen Yenan and Lu Tinghui and Li Linsen and Zhang Han}, title={A Novel Risk Assessment Method Based on Hybrid Algorithm for SCADA}, proceedings={Collaborative Computing: Networking, Applications and Worksharing. 18th EAI International Conference, CollaborateCom 2022, Hangzhou, China, October 15-16, 2022, Proceedings, Part II}, proceedings_a={COLLABORATECOM PART 2}, year={2023}, month={1}, keywords={SCADA Cyber attack Risk assessment Improved hybrid algorithm}, doi={10.1007/978-3-031-24386-8_1} }- Chen Yenan
Lu Tinghui
Li Linsen
Zhang Han
Year: 2023
A Novel Risk Assessment Method Based on Hybrid Algorithm for SCADA
COLLABORATECOM PART 2
Springer
DOI: 10.1007/978-3-031-24386-8_1
Abstract
With the frequent occurrence of cyber attacks in recent years, cyber attacks have become a major factor affecting the security and reliability of power SCADA. We urgently need an effective SCADA risk assessment algorithm to quantify the value at risk. However, traditional algorithms have the shortcomings of excessive parsing variables and inefficient sampling. Existing improved algorithms are far from the optimal distribution of the sampling density function. In this paper, we propose an optimal sampling algorithm and a selective parsing algorithm and combine them into an improved hybrid algorithm to solve the problems. The experimental results show that the improved hybrid algorithm not only improves the parsing and sampling efficiency, but also realizes the optimal distribution of the sampling density function and improves the accuracy of the assessment index. The assessment indexs accurately quantify the risk values of three widely used cyber attacks.
