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...

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Veröffentlicht in:IEEE transactions on cybernetics 2020-08, Vol.50 (8), p.3458-3467
Hauptverfasser: Xu, Wenying, Hu, Guoqiang, Ho, Daniel W. C., Feng, Zhi
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creator Xu, Wenying
Hu, Guoqiang
Ho, Daniel W. C.
Feng, Zhi
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.
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subjects Asymptotic consensus
Communication networks
Cooperative control
Decentralized control
Denial of service attacks
Denial-of-service attack
distributed denial-of-service (DoS) attack
distributed secure control
Eigenvalues
Eigenvalues and eigenfunctions
event-triggered
Laplace equations
Multi-agent systems
Multiagent systems
Protocols
Robust control
sample data
title Distributed Secure Cooperative Control Under Denial-of-Service Attacks From Multiple Adversaries
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