Abstract
Due to the lack of preprocessing of evaluation index data in the process of high-voltage power communication network security risk evaluation, the evaluation effect is poor. Therefore, a high-voltage power communication network security risk evaluation method based on fuzzy clustering is proposed. By determining the influencing factors and evaluation indicators, the operation data of high-voltage power communication network are collected and preprocessed. According to the preprocessing results, the similarity of the operation data of high-voltage power communication network is measured, and the fuzzy clustering method is used to realize the safety risk assessment of high-voltage power communication network. The experimental results show that the security risk assessment results of the proposed method are consistent with the actual results, and the evaluation effect is good.
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Duan, Z., Li, X. (2023). Security Risk Assessment Method of High Voltage Power Communication Network Based on Fuzzy Clustering. In: Xu, Y., Yan, H., Teng, H., Cai, J., Li, J. (eds) Machine Learning for Cyber Security. ML4CS 2022. Lecture Notes in Computer Science, vol 13657. Springer, Cham. https://doi.org/10.1007/978-3-031-20102-8_16
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DOI: https://doi.org/10.1007/978-3-031-20102-8_16
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