Physical Safety and Cyber Security Analysis of Multi-Agent Systems: A Survey of Recent Advances
Multi-agent systems (MASs) are typically composed of multiple smart entities with independent sensing, communication, computing, and decision-making capabilities. Nowadays, MASs have a wide range of applications in smart grids, smart manufacturing, sensor networks, and intelligent transportation sys...
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| Published in | IEEE/CAA journal of automatica sinica Vol. 8; no. 2; pp. 319 - 333 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
01.02.2021
Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology), Ministry of Education, Shanghai 200237, China%Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China%Department of Mechanical Engineering, University of Victoria, Canada%Department of Electrical and Computer Engineering, National University of Singapore, Singapore Research Center of Automation and Artificial Intelligence, Zhejiang University of Technology, Hangzhou, 310023 |
| Subjects | |
| Online Access | Get full text |
| ISSN | 2329-9266 2329-9274 |
| DOI | 10.1109/JAS.2021.1003820 |
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| Abstract | Multi-agent systems (MASs) are typically composed of multiple smart entities with independent sensing, communication, computing, and decision-making capabilities. Nowadays, MASs have a wide range of applications in smart grids, smart manufacturing, sensor networks, and intelligent transportation systems. Control of the MASs are often coordinated through information interaction among agents, which is one of the most important factors affecting coordination and cooperation performance. However, unexpected physical faults and cyber attacks on a single agent may spread to other agents via information interaction very quickly, and thus could lead to severe degradation of the whole system performance and even destruction of MASs. This paper is concerned with the safety/security analysis and synthesis of MASs arising from physical faults and cyber attacks, and our goal is to present a comprehensive survey on recent results on fault estimation, detection, diagnosis and fault-tolerant control of MASs, and cyber attack detection and secure control of MASs subject to two typical cyber attacks. Finally, the paper concludes with some potential future research topics on the security issues of MASs. |
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| AbstractList | Multi-agent systems (MASs) are typically composed of multiple smart entities with independent sensing, communication, computing, and decision-making capabilities. Nowadays, MASs have a wide range of applications in smart grids, smart manufacturing, sensor networks, and intelligent transportation systems. Control of the MASs are often coordinated through information interaction among agents, which is one of the most important factors affecting coordination and cooperation performance. However, unexpected physical faults and cyber attacks on a single agent may spread to other agents via information interaction very quickly, and thus could lead to severe degradation of the whole system performance and even destruction of MASs. This paper is concerned with the safety/security analysis and synthesis of MASs arising from physical faults and cyber attacks, and our goal is to present a comprehensive survey on recent results on fault estimation, detection, diagnosis and fault-tolerant control of MASs, and cyber attack detection and secure control of MASs subject to two typical cyber attacks. Finally, the paper concludes with some potential future research topics on the security issues of MASs. |
| Author | Srinivasan, Dipti Shi, Yang Zhang, Dan Feng, Gang |
| AuthorAffiliation | Research Center of Automation and Artificial Intelligence, Zhejiang University of Technology, Hangzhou, 310023;Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology), Ministry of Education, Shanghai 200237, China%Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China%Department of Mechanical Engineering, University of Victoria, Canada%Department of Electrical and Computer Engineering, National University of Singapore, Singapore |
| AuthorAffiliation_xml | – name: Research Center of Automation and Artificial Intelligence, Zhejiang University of Technology, Hangzhou, 310023;Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology), Ministry of Education, Shanghai 200237, China%Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China%Department of Mechanical Engineering, University of Victoria, Canada%Department of Electrical and Computer Engineering, National University of Singapore, Singapore |
| Author_xml | – sequence: 1 givenname: Dan surname: Zhang fullname: Zhang, Dan email: danzhang@zjut.edu.cn organization: Research Center of Automation and Artificial Intelligence, Zhejiang University of Technology,Hangzhou,310023 – sequence: 2 givenname: Gang surname: Feng fullname: Feng, Gang email: megfeng@cityu.edu.hk organization: City University of Hong Kong,Department of Biomedical Engineering,Hong Kong, China – sequence: 3 givenname: Yang surname: Shi fullname: Shi, Yang email: yshi@uvic.ca organization: University of Victoria,Department of Mechanical Engineering,Canada – sequence: 4 givenname: Dipti surname: Srinivasan fullname: Srinivasan, Dipti email: dipti@nus.edu.sg organization: National University of Singapore,Department of Electrical and Computer Engineering,Singapore |
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| Cites_doi | 10.1109/CDC.2017.8264562 10.1109/TITS.2015.2471812 10.1109/TVT.2016.2604759 10.1109/TCST.2009.2032921 10.1109/TCSI.2019.2904747 10.1109/TSMC.2018.2875250 10.1016/j.automatica.2020.108869 10.1137/1.9780898718683 10.1016/j.isatra.2015.11.025 10.1109/TCYB.2015.2394471 10.1109/TCYB.2020.2970556 10.1007/s00034-016-0313-8 10.1109/TIE.2015.2399400 10.1109/TCNS.2019.2939660 10.1109/TIE.2014.2367034 10.1109/TII.2018.2817248 10.1109/JAS.2019.1911537 10.1109/TCST.2019.2903446 10.1016/j.ces.2018.05.045 10.1016/j.isatra.2018.11.017 10.1016/j.ins.2020.03.083 10.1109/TCYB.2014.2350335 10.1016/j.artint.2018.01.002 10.1016/j.chemolab.2017.09.021 10.1109/LRA.2019.2959726 10.1016/j.automatica.2018.10.052 10.1109/TCYB.2019.2918402 10.23919/ECC.2018.8550549 10.1109/TIE.2017.2786235 10.1109/TSP.2018.2813330 10.1016/j.ins.2020.05.086 10.1016/j.ins.2018.02.008 10.1109/TCYB.2018.2856089 10.1023/A:1008942012299 10.1016/j.automatica.2020.108960 10.1109/JAS.2020.1003258 10.1016/j.jfranklin.2019.03.028 10.1109/TCYB.2016.2582802 10.1049/iet-cta.2017.0249 10.1109/EuroSP48549.2020.00026 10.1016/j.neucom.2019.03.089 10.23919/ACC.2018.8431538 10.1109/TSMC.2019.2895097 10.1109/TCYB.2017.2771560 10.1109/TCYB.2014.2366204 10.1007/s12555-017-0016-3 10.1049/iet-cta.2013.0831 10.1007/s00034-017-0548-z 10.1109/JAS.2017.7510751 10.1016/j.automatica.2019.01.013 10.1002/rnc.3342 10.1109/TSMC.2019.2938216 10.1109/TII.2019.2963294 10.1016/j.automatica.2017.09.002 10.1109/TCST.2013.2264507 10.1109/TCYB.2015.2513748 10.1109/TSIPN.2017.2760804 10.1109/MITS.2017.2709781 10.1109/TSMC.2019.2894946 10.1016/j.jfranklin.2016.11.032 10.1109/JAS.2019.1911594 10.1109/TCNS.2014.2367362 10.1109/TASE.2019.2894093 10.1109/TCYB.2018.2806387 10.1109/TCST.2019.2892032 10.1007/s10462-011-9228-8 10.1109/TSMC.2019.2905253 10.1109/TCYB.2017.2782731 10.1016/j.automatica.2015.12.027 10.1109/TAC.2011.2164734 10.1109/TSMC.2018.2876497 10.1109/TAC.2013.2274689 10.1109/TCNS.2016.2567223 10.1109/TSMC.2018.2876370 10.1109/ACCESS.2019.2946286 10.1007/s12555-017-0458-7 10.1016/j.automatica.2009.10.024 10.1002/rnc.4521 10.1109/COMST.2018.2847722 10.1109/COMST.2018.2871866 10.1109/TSP.2011.2182347 10.1016/j.jfranklin.2018.09.038 10.1109/TPWRS.2014.2347699 10.1109/TCYB.2017.2753383 10.1109/ASCC.2017.8287543 10.1049/iet-cta.2016.1571 10.1109/ACCESS.2018.2866403 10.1109/TITS.2018.2791484 10.1016/j.automatica.2011.09.011 10.1109/TSMC.2019.2896087 10.1002/rnc.3855 10.1109/ACCESS.2019.2926619 10.1080/00207721.2018.1510059 10.1109/ACCESS.2018.2831228 10.1109/TAC.2011.2158130 10.1109/TSMC.2018.2811390 10.1049/iet-cta.2017.0484 10.1016/j.sysconle.2011.02.004 10.1109/JAS.2020.1003255 10.1177/0142331219827346 10.1007/s00034-018-0872-y 10.1016/j.ins.2018.04.020 10.1016/j.arcontrol.2012.09.004 10.1016/j.jfranklin.2014.11.006 10.1109/TII.2019.2945004 10.1109/CPSRSG.2016.7684101 10.1145/3055366.3055375 10.1109/TII.2019.2905295 10.1002/rnc.4923 10.1109/TSG.2016.2550218 10.1109/TCYB.2016.2544062 10.1109/TCYB.2018.2877101 |
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| Publisher | The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Key Laboratory of Advanced Control and Optimization for Chemical Processes (East China University of Science and Technology), Ministry of Education, Shanghai 200237, China%Department of Biomedical Engineering, City University of Hong Kong, Hong Kong, China%Department of Mechanical Engineering, University of Victoria, Canada%Department of Electrical and Computer Engineering, National University of Singapore, Singapore Research Center of Automation and Artificial Intelligence, Zhejiang University of Technology, Hangzhou, 310023 |
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| References | ref57 ref56 ref59 ref58 ref53 ref52 ref55 ref54 ioannou (ref69) 1996 ref51 ref50 ref46 ref45 ref48 ref47 ref42 ref41 ref44 ref43 ref49 ref8 ref7 ref9 ref4 ref3 ref6 ref5 ref100 ref101 ref40 ref35 ref34 ref37 ref36 ref31 ref30 ref33 ref32 ref39 ref38 ref24 ref23 ref26 ref25 ref20 ref22 ref21 ref28 ref27 ref29 ref12 ref15 ref14 ref97 ref96 ref99 ref11 ref98 ref10 ref17 ref16 ref19 ref18 ref93 ref92 ref95 ref94 ref91 ref90 ref89 ref86 ref85 ref88 ref87 korkmaz (ref116) 2016 trivedi (ref13) 2017; 21 ref82 ref81 ref84 ref83 ref80 ref79 ref108 ref78 ref109 ref106 ref75 ref104 ref74 ref105 ref77 ref102 ref76 ref103 ref2 ref1 (ref107) 0 ref71 ref111 ref70 ref112 ref73 ref72 ref110 ref68 ref67 ref64 ref115 ref63 ref66 ref113 ref65 ref114 ref60 ref62 ref61 |
| References_xml | – ident: ref79 doi: 10.1109/CDC.2017.8264562 – ident: ref12 doi: 10.1109/TITS.2015.2471812 – ident: ref39 doi: 10.1109/TVT.2016.2604759 – ident: ref20 doi: 10.1109/TCST.2009.2032921 – volume: 21 start-page: 440 year: 2017 ident: ref13 article-title: A survey of multiobjective evolutionary algorithms based on decomposition publication-title: IEEE Trans Evol Comput – ident: ref91 doi: 10.1109/TCSI.2019.2904747 – ident: ref86 doi: 10.1109/TSMC.2018.2875250 – ident: ref100 doi: 10.1016/j.automatica.2020.108869 – ident: ref104 doi: 10.1137/1.9780898718683 – ident: ref42 doi: 10.1016/j.isatra.2015.11.025 – ident: ref17 doi: 10.1109/TCYB.2015.2394471 – ident: ref108 doi: 10.1109/TCYB.2020.2970556 – ident: ref35 doi: 10.1007/s00034-016-0313-8 – ident: ref64 doi: 10.1109/TIE.2015.2399400 – ident: ref33 doi: 10.1109/TCNS.2019.2939660 – ident: ref52 doi: 10.1109/TIE.2014.2367034 – ident: ref9 doi: 10.1109/TII.2018.2817248 – ident: ref2 doi: 10.1109/JAS.2019.1911537 – ident: ref98 doi: 10.1109/TCST.2019.2903446 – ident: ref40 doi: 10.1016/j.ces.2018.05.045 – ident: ref50 doi: 10.1016/j.isatra.2018.11.017 – ident: ref111 doi: 10.1016/j.ins.2020.03.083 – ident: ref46 doi: 10.1109/TCYB.2014.2350335 – ident: ref14 doi: 10.1016/j.artint.2018.01.002 – ident: ref22 doi: 10.1016/j.chemolab.2017.09.021 – ident: ref101 doi: 10.1109/LRA.2019.2959726 – ident: ref73 doi: 10.1016/j.automatica.2018.10.052 – ident: ref87 doi: 10.1109/TCYB.2019.2918402 – ident: ref76 doi: 10.23919/ECC.2018.8550549 – ident: ref48 doi: 10.1109/TIE.2017.2786235 – ident: ref71 doi: 10.1109/TSP.2018.2813330 – ident: ref102 doi: 10.1016/j.ins.2020.05.086 – ident: ref82 doi: 10.1016/j.ins.2018.02.008 – ident: ref99 doi: 10.1109/TCYB.2018.2856089 – ident: ref11 doi: 10.1023/A:1008942012299 – ident: ref89 doi: 10.1016/j.automatica.2020.108960 – ident: ref66 doi: 10.1109/JAS.2020.1003258 – ident: ref68 doi: 10.1016/j.jfranklin.2019.03.028 – ident: ref94 doi: 10.1109/TCYB.2016.2582802 – year: 1996 ident: ref69 publication-title: Robust Adaptive Control – ident: ref25 doi: 10.1049/iet-cta.2017.0249 – ident: ref105 doi: 10.1109/EuroSP48549.2020.00026 – ident: ref85 doi: 10.1016/j.neucom.2019.03.089 – ident: ref77 doi: 10.23919/ACC.2018.8431538 – ident: ref93 doi: 10.1109/TSMC.2019.2895097 – ident: ref7 doi: 10.1109/TCYB.2017.2771560 – ident: ref53 doi: 10.1109/TCYB.2014.2366204 – ident: ref28 doi: 10.1007/s12555-017-0016-3 – ident: ref55 doi: 10.1049/iet-cta.2013.0831 – ident: ref47 doi: 10.1007/s00034-017-0548-z – ident: ref3 doi: 10.1109/JAS.2017.7510751 – ident: ref58 doi: 10.1016/j.automatica.2019.01.013 – ident: ref81 doi: 10.1002/rnc.3342 – ident: ref67 doi: 10.1109/TSMC.2019.2938216 – ident: ref15 doi: 10.1109/TII.2019.2963294 – ident: ref65 doi: 10.1016/j.automatica.2017.09.002 – ident: ref51 doi: 10.1109/TCST.2013.2264507 – ident: ref26 doi: 10.1109/TCYB.2015.2513748 – ident: ref72 doi: 10.1109/TSIPN.2017.2760804 – ident: ref6 doi: 10.1109/MITS.2017.2709781 – ident: ref97 doi: 10.1109/TSMC.2019.2894946 – ident: ref43 doi: 10.1016/j.jfranklin.2016.11.032 – ident: ref4 doi: 10.1109/JAS.2019.1911594 – ident: ref45 doi: 10.1109/TCNS.2014.2367362 – ident: ref1 doi: 10.1109/TASE.2019.2894093 – ident: ref92 doi: 10.1109/TCYB.2018.2806387 – ident: ref88 doi: 10.1109/TCST.2019.2892032 – ident: ref18 doi: 10.1007/s10462-011-9228-8 – year: 0 ident: ref107 publication-title: Satori is the latest Mirai botnet variant that is targeting Huawei HG532 home routers – ident: ref114 doi: 10.1109/TSMC.2019.2905253 – year: 2016 ident: ref116 article-title: Industrial control systems security testbed publication-title: Proc 11 th Annu Symp Information Assurance – ident: ref54 doi: 10.1109/TCYB.2017.2782731 – ident: ref49 doi: 10.1016/j.automatica.2015.12.027 – ident: ref75 doi: 10.1109/TAC.2011.2164734 – ident: ref96 doi: 10.1109/TSMC.2018.2876497 – ident: ref24 doi: 10.1109/TAC.2013.2274689 – ident: ref31 doi: 10.1109/TCNS.2016.2567223 – ident: ref32 doi: 10.1109/TSMC.2018.2876370 – ident: ref34 doi: 10.1109/ACCESS.2019.2946286 – ident: ref63 doi: 10.1007/s12555-017-0458-7 – ident: ref80 doi: 10.1016/j.automatica.2009.10.024 – ident: ref29 doi: 10.1002/rnc.4521 – ident: ref112 doi: 10.1109/COMST.2018.2847722 – ident: ref113 doi: 10.1109/COMST.2018.2871866 – ident: ref37 doi: 10.1109/TSP.2011.2182347 – ident: ref60 doi: 10.1016/j.jfranklin.2018.09.038 – ident: ref38 doi: 10.1109/TPWRS.2014.2347699 – ident: ref56 doi: 10.1109/TCYB.2017.2753383 – ident: ref62 doi: 10.1109/ASCC.2017.8287543 – ident: ref57 doi: 10.1049/iet-cta.2016.1571 – ident: ref23 doi: 10.1109/ACCESS.2018.2866403 – ident: ref78 doi: 10.1109/TITS.2018.2791484 – ident: ref41 doi: 10.1016/j.automatica.2011.09.011 – ident: ref83 doi: 10.1109/TSMC.2019.2896087 – ident: ref84 doi: 10.1002/rnc.3855 – ident: ref59 doi: 10.1109/ACCESS.2019.2926619 – ident: ref106 doi: 10.1080/00207721.2018.1510059 – ident: ref10 doi: 10.1109/ACCESS.2018.2831228 – ident: ref74 doi: 10.1109/TAC.2011.2158130 – ident: ref44 doi: 10.1109/TSMC.2018.2811390 – ident: ref27 doi: 10.1049/iet-cta.2017.0484 – ident: ref70 doi: 10.1016/j.sysconle.2011.02.004 – ident: ref5 doi: 10.1109/JAS.2020.1003255 – ident: ref30 doi: 10.1177/0142331219827346 – ident: ref61 doi: 10.1007/s00034-018-0872-y – ident: ref95 doi: 10.1016/j.ins.2018.04.020 – ident: ref21 doi: 10.1016/j.arcontrol.2012.09.004 – ident: ref16 doi: 10.1016/j.jfranklin.2014.11.006 – ident: ref19 doi: 10.1109/TII.2019.2945004 – ident: ref110 doi: 10.1109/CPSRSG.2016.7684101 – ident: ref115 doi: 10.1145/3055366.3055375 – ident: ref8 doi: 10.1109/TII.2019.2905295 – ident: ref103 doi: 10.1002/rnc.4923 – ident: ref109 doi: 10.1109/TSG.2016.2550218 – ident: ref90 doi: 10.1109/TCYB.2016.2544062 – ident: ref36 doi: 10.1109/TCYB.2018.2877101 |
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| SubjectTerms | Consensus Control systems Cyberattack Cybersecurity deception attack Decision making deny-of-service (DoS) attack fault detection fault estimation Fault tolerance fault tolerant control Intelligent transportation systems Multi-agent systems Multiagent systems Safety Smart grid Smart grids Smart manufacturing System performance Telecommunication computing |
| Title | Physical Safety and Cyber Security Analysis of Multi-Agent Systems: A Survey of Recent Advances |
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