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

doi:10.1109/JAS.2021.1004261

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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
刊名	IEEE/CAA Journal of Automatica Sinica
	2022
卷号	9 期号:3 页码:377-391
关键词	Cyber-physical system cybersecurity deep learning intrusion detection pattern classification
ISSN号	2329-9266
DOI	10.1109/JAS.2021.1004261
英文摘要	With the booming of cyber attacks and cyber criminals against cyber-physical systems (CPSs), detecting these attacks remains challenging. It might be the worst of times, but it might be the best of times because of opportunities brought by machine learning (ML), in particular deep learning (DL). In general, DL delivers superior performance to ML because of its layered setting and its effective algorithm for extract useful information from training data. DL models are adopted quickly to cyber attacks against CPS systems. In this survey, a holistic view of recently proposed DL solutions is provided to cyber attack detection in the CPS context. A six-step DL driven methodology is provided to summarize and analyze the surveyed literature for applying DL methods to detect cyber attacks against CPS systems. The methodology includes CPS scenario analysis, cyber attack identification, ML problem formulation, DL model customization, data acquisition for training, and performance evaluation. The reviewed works indicate great potential to detect cyber attacks against CPS through DL modules. Moreover, excellent performance is achieved partly because of several high-quality datasets that are readily available for public use. Furthermore, challenges, opportunities, and research trends are pointed out for future research.
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/47203]
专题	自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式 GB/T 7714	Jun Zhang,Lei Pan,Qing-Long Han,et al. Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey[J]. IEEE/CAA Journal of Automatica Sinica,2022,9(3):377-391.
APA	Jun Zhang,Lei Pan,Qing-Long Han,Chao Chen,Sheng Wen,&Yang Xiang.(2022).Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey.IEEE/CAA Journal of Automatica Sinica,9(3),377-391.
MLA	Jun Zhang,et al."Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey".IEEE/CAA Journal of Automatica Sinica 9.3(2022):377-391.