Research on intrusion detection of industrial control system based on improved QPSO-SVM

Yajie Yu; Xianda Liu; Weixuan Wei; Hengfei Chen

doi:10.1117/12.2638603

23 May 2022 Research on intrusion detection of industrial control system based on improved QPSO-SVM

Yajie Yu, Xianda Liu, Weixuan Wei, Hengfei Chen

Proceedings Volume 12254, International Conference on Electronic Information Technology (EIT 2022); 1225418 (2022) https://doi.org/10.1117/12.2638603
Event: International Conference on Electronic Information Technology (EIT 2022), 2022, Chengdu, China

Abstract

Intrusion detection technology can effectively evaluate the security state of the system. However, the accuracy of traditional intrusion detection methods still needs to be improved. Therefore, this paper proposed a SVM model based on improved QPSO. QPSO is used to optimize the hyperparameters of SVM to improve its accuracy. In addition, the shrinkage expansion coefficient 𝛼 in QPSO is improved to make QPSO adaptive. Experiment shows that the proposed algorithm has good performance.

Citation Download Citation

Yajie Yu, Xianda Liu, Weixuan Wei, and Hengfei Chen "Research on intrusion detection of industrial control system based on improved QPSO-SVM", Proc. SPIE 12254, International Conference on Electronic Information Technology (EIT 2022), 1225418 (23 May 2022); https://doi.org/10.1117/12.2638603

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