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 highquality datasets that are readily available for public use.Furthermore,challenges,opportunities,and research trends are pointed out for future research.
作者简介
Jun Zhang(M’12-SM’18)received the Ph.D.degree in Computer Science from the University of Wollongong,Wollongong,NSW,Australia,in 2011.He is the Co-founder and Director of the Cybersecurity Lab,Swinburne University of Technology,Australia.His research focuses on cybersecurity.He is the Chief Investigator of several projects in cybersecurity,funded by the Australian Research Council(ARC).He has published more than 100 research papers in reputed international journals and conferences,such as the IEEE CST,PIEEE,TIFS,TDSC,CSUR,CCS,PETS.Two of his papers were selected as the featured articles in IEEE TDSC and IT Professional.He has been recognised in The Australians Top Researchers special edition publication(09/2020)as the leading researcher in the field of Computer Security&Cryptography.He is leading Swinburne Cybersecurity Lab to deliver value and impact to our community,including significant contribution to Australian P-TECH education program and penetration test service to the industry partners.e-mail:junzhang@swin.edu.au;Lei Pan(M’11)received the Ph.D.degree in Computer Science from Deakin University,Geelong,VIC,Australia.He is currently a Senior Lecturer with the Strategic Centre for Cyber Security Research and Innovation,School of Information Technology,Deakin University.His research interests cover broad topics in cybersecurity and privacy.He has authored 70 research papers in refereed international journals and conferences,such as IEEE Transactions on Information Forensics and Security,IEEE Transactions on Dependable and Security Computing,IEEE Transactions on Industrial Informatics,and many more.He is a regular reviewer for prestigious journals like the IEEE Transactions on Information Forensics and Security,the Internet of Things journal.He also regularly serves as a technical panel member for international conferences like Trustcom,ATIS,NSS,AWMLC.e-mail:l.pan@deakin.edu.au;Corresponding author:Qing-Long Han(M’09-SM’13-F’19)received the B.Sc.degree in Mathematics from Shandong Normal University,Jinan,China,in 1983,and the M.Sc.and Ph.D.degrees in Control Engineering from East China University of Science and Technology,Shanghai,China,in 1992 and 1997,respectively.Professor Han is Pro Vice-Chancellor(Research Quality)and a Distinguished Professor at Swinburne University of Technology,Melbourne,Australia.He held various academic and management positions at Griffith University and Central Queensland University,Australia.His research interests include networked control systems,multi-agent systems,time-delay systems,smart grids,unmanned surface vehicles,and neural networks.Professor Han was a Highly Cited Researcher in both Engineering and Computer Science(Clarivate Analytics,2019-2020).He was one of Australia’s Top 5 Lifetime Achievers(Research Superstars)in Engineering and Computer Science(The Australian’s Research Magazine,2019-2020).He was the recipient of The 2021 M.A.Sargent Medal(the Highest Award of the Electrical College Board of Engineers Australia),The 2020 IEEE Systems,Man,and Cybernetics(SMC)Society Andrew P.Sage Best Transactions Paper Award,The 2020 IEEE Transactions on Industrial Informatics Outstanding Paper Award,and The 2019 IEEE SMC Society Andrew P.Sage Best Transactions Paper Award.Professor Han is a Member of the Academia Europaea(The Academy of Europe)and a Fellow of The Institution of Engineers Australia.He has served as an AdCom Member of IEEE Industrial Electronics Society(IES),a Member of IEEE IES Fellow Committee,and Chair of IEEE IES Technical Committee on Networked Control Systems.He is Co-Editor-in-Chief of IEEE Transactions on Industrial Informatics,Co-Editor of Australian Journal of Electrical and Electronic Engineering,an Associate Editor for 12 international journals,including the IEEE TRANSACTIONS ON CYBERNETICS,the IEEE INDUSTRIAL ELECTRONICS MAGAZINE,the IEEE/CAA JOURNAL OF AUTOMATICA SINICA,Control Engineering Practice,and Information Sciences and Computing,and a Guest Editor for 13 Special Issues.qhan@swin.edu.au;Chao Chen(M’21)received the Ph.D.degree in Computer Science from Deakin University,Geelong,VIC,Australia,in 2017.He is currently a Senior Lecturer in Cybersecurity at College of Science and Engineering,James Cook University.From 2016 to 2018,he worked as a Data Scientist at Telstra to create customer value from huge and heterogeneous data sources using advanced analytics and big data techniques.He then worked at Swinburne University of Technology as a Research Scientist from 2018 to 2020.He is currently conducting interdisciplinary research between cybersecurity and artificial intelligence(AI),including AI for cybersecurity and security&privacy issues in AI models.e-mail:chao.chen@jcu.edu.au;Sheng Wen(M’15)received the Ph.D.degree in Computer Science from the School of Information Technology,Deakin University,Australia,in 2015.He is currently a Senior Lecturer at Swinburne University of Technology.His focus is on modeling of virus spread,information dissemination,and defense strategies for the Internet threats.He is also interested in the techniques of identifying information sources in networks.swen@swin.edu.au;Yang Xiang(M’07-SM’12-F’20)received the Ph.D.degree in Computer Science from Deakin University,Geelong,VIC,Australia.He is currently a full Professor and the Dean of Digital Research&Innovation Capability Platform,Swinburne University of Technology,Australia.His research interests include cyber security,which covers network and system security,data analytics,distributed systems,and networking.He is also leading the Blockchain initiatives at Swinburne.He has published more than 300 research papers in many international journals and conferences.He is the Editor-in-Chief of the SpringerBriefs on Cyber Security Systems and Networks.He serves as the Associate Editor of IEEE Transactions on Dependable and Secure Computing,IEEE Internet of Things Journal,and ACM Computing Surveys.He served as the Associate Editor of IEEE Transactions on Computers and IEEE Transactions on Parallel and Distributed Systems.He is the Coordinator,Asia for IEEE Computer Society Technical Committee on Distributed Processing(TCDP).yxiang@swin.edu.au。
