A Method Based on Multiple Population Genetic Algorithm to Select Hyper-Parameters of Industrial Intrusion Detection Classifier

A Method Based on Multiple Population Genetic Algorithm to Select Hyper-Parameters of Industrial Intrusion Detection Classifier

The security of industrial control systems is increasingly prominent, and the performance of intrusion detection classifiers depends more on hyper-parameters. This paper proposes an improved multiple population genetic algorithm (IMPGA) used to intelligently search hyper-parameters of classifiers, a...

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Bibliographic Details
Main Authors: Xuejun LIU, Hao WANG, Xiaoni ZHANG, Haiying LUAN, Yun SHA, Yong YAN
Format: Article
Language:English
Published: ICI Publishing House 2021-09-01
Series:Revista Română de Informatică și Automatică
Subjects:
industrial control network
intrusion detection
genetic algorithm
hyper-parameters optimization
Online Access:https://sic.ici.ro/wp-content/uploads/2021/09/Art.-4-Issue-3-2021.pdf

Internet

https://sic.ici.ro/wp-content/uploads/2021/09/Art.-4-Issue-3-2021.pdf

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