Differential evolution-based convolutional neural networks: An automatic architecture design method for intrusion detection in industrial control systems-Reference-Cited by-同舟云学术

Differential evolution-based convolutional neural networks: An automatic architecture design method for intrusion detection in industrial control systems

Published:2023-09 Issue: Volume:132 Page:103310
ISSN:0167-4048
Container-title:Computers & Security
language:en
Short-container-title:Computers & Security

Author:

Huang Jia-Cheng^ORCID,Zeng Guo-Qiang,Geng Guang-Gang,Weng Jian^ORCID,Lu Kang-Di,Zhang Yu

Funder

National Natural Science Foundation of China

Natural Science Foundation of Guangdong Province

Ministry of Industry and Information Technology of the People's Republic of China

Special Project for Research and Development in Key areas of Guangdong Province

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference72 articles.

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4. WADI: a water distribution testbed for research in the design of secure cyber physical systems;Ahmed,2017

5. Deep learning approaches for anomaly-based intrusion detection systems: a survey, taxonomy, and open issues;Aldweesh;Knowledge-Based Syst.,2020

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