Research on improved network security evaluation method of fuzzy hierarchy

Shaohua Sun; Xing Zhang; Jing Liang

doi:10.1117/12.3029344

22 May 2024 Research on improved network security evaluation method of fuzzy hierarchy

Shaohua Sun, Xing Zhang, Jing Liang

Proceedings Volume 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023); 131761N (2024) https://doi.org/10.1117/12.3029344
Event: Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 2023, Hangzhou, China

Abstract

In order to further improve network security, a network security situation assessment model fuzzy AHP is designed. Currently significantly between using a diffusion network, first proposed a set of line with the current realities of the system, the system comprises three trend indicators: decision-making, rule layer and index layer; and using the best mean clustering and C- (FCM) clustering criteria to resolve because of its ambiguity creates uncertainty error of assessment of the situation assessment and the balance of the data; the finalization of the establishment of two multi-factor assessment model for situational assessments vector. As can be seen from the last simulation results, the establishment of a new model based on the results of a traditional trend of Fuzzy AHP evaluation model is more accurate than some of the smaller weighting factors are also taken into account, so that even smaller standard deviation.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Shaohua Sun, Xing Zhang, and Jing Liang "Research on improved network security evaluation method of fuzzy hierarchy", Proc. SPIE 13176, Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023), 131761N (22 May 2024); https://doi.org/10.1117/12.3029344

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