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Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey

Jun Zhang Lei Pan Qing-Long Han Chao Chen Sheng Wen Yang Xiang

自动化学报（英文版）2022，Vol.9Issue(3)：377-391,15.

自动化学报（英文版）2022，Vol.9Issue(3)：377-391,15.DOI:10.1109/JAS.2021.1004261

Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey

Jun Zhang ¹Lei Pan ²Qing-Long Han ¹Chao Chen ³Sheng Wen ¹Yang Xiang¹

作者信息

1. School of Science,Computing and Engineering Technologies,Swinburne University of Technology,Melbourne,VIC 3122,Australia
2. School of Information Technology,Deakin University,Geelong,VIC 3216,Australia
3. College of Science and Engineering,James Cook University,Townsville,QLD 4811,Australia
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摘要

关键词

Cyber-physical system/cybersecurity/deep learning/intrusion detection/pattern classification

Key words

Cyber-physical system/cybersecurity/deep learning/intrusion detection/pattern classification

引用本文复制引用

Jun Zhang,Lei Pan,Qing-Long Han,Chao Chen,Sheng Wen,Yang Xiang..Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey[J].自动化学报（英文版）,2022,9(3):377-391,15.

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