Abstract
The current network control system (NCS) cannot assess the system safety state in a timely, comprehensive, and accurate manner, which leads to serious security problems in NCS. Directing at the defects of existing security state assessment models for the NCS, a method of safety state assessment of the NCS based on the belief rule base (BRB) expert system is proposed in this paper. Firstly, the expert system of the BRB is used to combine qualitative knowledge with quantitative monitoring data. Then, the evidential reasoning (ER) algorithm is used for knowledge reasoning, and the initial parameters of BRB model are optimized. Finally, taking the data of a gas NCS as an example, the experimental results illustrate that the assessment accuracy is higher than that of back propagation (BP) and support vector machines (SVM) evaluation models.
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Acknowledgements
This work was supported by National Key R&D Program of China (2020YFB1806702) and DATANG MOBILE COMMUNICATIONS EQUIPMENT CO., LTD Funded Project (20202000659).
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Han, Y., Xiao, L., Luo, J., Zeng, J., Su, X. (2023). Safety State Assessment of Network Control System Based on Belief Rule Base. In: Yang, XS., Sherratt, S., Dey, N., Joshi, A. (eds) Proceedings of Seventh International Congress on Information and Communication Technology. Lecture Notes in Networks and Systems, vol 448. Springer, Singapore. https://doi.org/10.1007/978-981-19-1610-6_68
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DOI: https://doi.org/10.1007/978-981-19-1610-6_68
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