Distributed secure cooperative control under denial-of-service attacks from multiple adversaries

This paper develops a fully distributed framework to investigate the cooperative behavior of multiagent systems in the presence of distributed denial-of-service (DoS) attacks launched by multiple adversaries. In such an insecure network environment, two kinds of communication schemes, that is, sampl...

Full description

Saved in:
Bibliographic Details
Main Authors: Xu, Wenying, Hu, Guoqiang, Ho, Daniel Wing Cheong, Feng, Zhi
Other Authors: School of Electrical and Electronic Engineering
Format: Article
Language:English
Published: 2022
Subjects:
Online Access:https://hdl.handle.net/10356/161237
Tags: Add Tag
No Tags, Be the first to tag this record!
Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-161237
record_format dspace
spelling sg-ntu-dr.10356-1612372022-08-22T05:06:17Z Distributed secure cooperative control under denial-of-service attacks from multiple adversaries Xu, Wenying Hu, Guoqiang Ho, Daniel Wing Cheong Feng, Zhi School of Electrical and Electronic Engineering Engineering::Electrical and electronic engineering Asymptotic Consensus Distributed Secure Control This paper develops a fully distributed framework to investigate the cooperative behavior of multiagent systems in the presence of distributed denial-of-service (DoS) attacks launched by multiple adversaries. In such an insecure network environment, two kinds of communication schemes, that is, sample-data and event-triggered communication schemes, are discussed. Then, a fully distributed control protocol with strong robustness and high scalability is well designed. This protocol guarantees asymptotic consensus against distributed DoS attacks. In this paper, "fully" emphasizes that the eigenvalue information of the Laplacian matrix is not required in the design of both the control protocol and event conditions. For the event-triggered case, two effective dynamical event-triggered schemes are proposed, which are independent of any global information. Such event-triggered schemes do not exhibit Zeno behavior even in the insecure environment. Finally, a simulation example is provided to verify the effectiveness of theoretical analysis. Economic Development Board (EDB) Ministry of Education (MOE) This work was supported in part by the Singapore Economic Development Board through EIRP under Grant S14-1172-NRF EIRP-IHL, in part by the Singapore Ministry of Education Academic Research Fund Tier 1 under Grant RG180/17 (2017-T1-002-158), in part by the Research Grants Council of the Hong Kong under Grant CityU 11200717 and Grant CityU 7005029, in part by the Natural Science Foundation of Jiangsu Province under Grant BK20180367, in part by the National Natural Science Foundation of China under Grant 61803082, in part by the Fundamental Research Funds for the Central Universities, in part by the Alexander von Humboldt Foundation of Germany, and in part by the ZhiShan Youth Scholar Program from Southeast University. 2022-08-22T05:06:17Z 2022-08-22T05:06:17Z 2019 Journal Article Xu, W., Hu, G., Ho, D. W. C. & Feng, Z. (2019). Distributed secure cooperative control under denial-of-service attacks from multiple adversaries. IEEE Transactions On Cybernetics, 50(8), 3458-3467. https://dx.doi.org/10.1109/TCYB.2019.2896160 2168-2267 https://hdl.handle.net/10356/161237 10.1109/TCYB.2019.2896160 30794199 2-s2.0-85088201406 8 50 3458 3467 en S14-1172-NRF EIRP-IHL RG180/17 (2017-T1-002-158) IEEE Transactions on Cybernetics © 2019 IEEE. All rights reserved.
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
Asymptotic Consensus
Distributed Secure Control
spellingShingle Engineering::Electrical and electronic engineering
Asymptotic Consensus
Distributed Secure Control
Xu, Wenying
Hu, Guoqiang
Ho, Daniel Wing Cheong
Feng, Zhi
Distributed secure cooperative control under denial-of-service attacks from multiple adversaries
description This paper develops a fully distributed framework to investigate the cooperative behavior of multiagent systems in the presence of distributed denial-of-service (DoS) attacks launched by multiple adversaries. In such an insecure network environment, two kinds of communication schemes, that is, sample-data and event-triggered communication schemes, are discussed. Then, a fully distributed control protocol with strong robustness and high scalability is well designed. This protocol guarantees asymptotic consensus against distributed DoS attacks. In this paper, "fully" emphasizes that the eigenvalue information of the Laplacian matrix is not required in the design of both the control protocol and event conditions. For the event-triggered case, two effective dynamical event-triggered schemes are proposed, which are independent of any global information. Such event-triggered schemes do not exhibit Zeno behavior even in the insecure environment. Finally, a simulation example is provided to verify the effectiveness of theoretical analysis.
author2 School of Electrical and Electronic Engineering
author_facet School of Electrical and Electronic Engineering
Xu, Wenying
Hu, Guoqiang
Ho, Daniel Wing Cheong
Feng, Zhi
format Article
author Xu, Wenying
Hu, Guoqiang
Ho, Daniel Wing Cheong
Feng, Zhi
author_sort Xu, Wenying
title Distributed secure cooperative control under denial-of-service attacks from multiple adversaries
title_short Distributed secure cooperative control under denial-of-service attacks from multiple adversaries
title_full Distributed secure cooperative control under denial-of-service attacks from multiple adversaries
title_fullStr Distributed secure cooperative control under denial-of-service attacks from multiple adversaries
title_full_unstemmed Distributed secure cooperative control under denial-of-service attacks from multiple adversaries
title_sort distributed secure cooperative control under denial-of-service attacks from multiple adversaries
publishDate 2022
url https://hdl.handle.net/10356/161237
_version_ 1743119560509227008