Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey Zhang, J, Pan, Lei, Han, QL, Chen, C, Wen, S and Xiang, Y 2022, Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey, IEEE/CAA Journal of Automatica Sinica, vol. 9, no. 3, pp. 377-391, doi: 10.1109/JAS.2021.1004261. Attached Files Name Description MIMEType Size Downloads Title Deep Learning Based Attack Detection for Cyber-Physical System Cybersecurity: A Survey Author(s) Zhang, J Pan, Lei orcid.org/0000-0002-4691-8330 Han, QL Chen, C Wen, S Xiang, Y Journal name IEEE/CAA Journal of Automatica Sinica Volume number 9 Issue number 3 Start page 377 End page 391 Total pages 15 Publisher Institute of Electrical and Electronics Engineers Place of publication Piscataway, NJ Publication date 2022-03 ISSN 2329-9266 2329-9274 Keyword(s) Automation & Control Systems CHALLENGES Cyber-physical system cybersecurity deep learning FRAMEWORK intrusion detection NETWORKS pattern classification PATTERNS PREDICTION PRIVACY Science & Technology SECURITY Technology THREATS Language eng DOI 10.1109/JAS.2021.1004261 HERDC Research category C1 Refereed article in a scholarly journal Persistent URL http://hdl.handle.net/10536/DRO/DU:30156302 Document type: Journal Article Collections: Faculty of Science, Engineering and Built Environment School of Information Technology Related Links Link Description Connect to published version Go to link with your DU access privileges   Connect to Elements publication management system Go to link with your DU access privileges     Unless expressly stated otherwise, the copyright for items in DRO is owned by the author, with all rights reserved. Versions Version Filter Type Thu, 30 Sep 2021, 07:55:11 EST Thu, 30 Sep 2021, 16:19:34 EST Fri, 01 Oct 2021, 07:51:42 EST Sat, 02 Oct 2021, 02:45:29 EST Sat, 15 Jan 2022, 01:30:41 EST Thu, 20 Jan 2022, 16:39:17 EST Wed, 23 Mar 2022, 21:54:23 EST Wed, 23 Mar 2022, 22:39:04 EST Wed, 23 Mar 2022, 22:42:09 EST Wed, 20 Apr 2022, 13:32:43 EST Filtered Full Citation counts:   Cited 11 times in TR Web of Science Cited 11 times in Scopus Search Google Scholar Access Statistics: 23 Abstract Views, 3 File Downloads  -  Detailed Statistics Created: Thu, 30 Sep 2021, 07:55:11 EST