Journal article
Distributed Event-Triggered Control for Multiagent Systems Under Denial-of-Service Attacked Topology: Secure Mode Strategy
IEEE transactions on systems, man, and cybernetics. Systems, Vol.52(10), pp.6534-6544
10/01/2022
DOI: 10.1109/TSMC.2022.3147773
Abstract
In this article, the secure event-triggered control problem is investigated for multiagent systems (MASs) compromised by Denial-of-Service (DoS) attacks with multiple modes. With the rapid development of information technology, DoS attacks against communication topologies are more and more common in MASs with cyber-physical features. To actively reduce the influences caused by DoS attacks, a secure mode strategy is proposed to make agents switch into the secure mode when attacks occur. In this strategy, each agent accesses or terminates the secure mode with bounded time delays after DoS attacks begin or end. Based on the switched system theory, the secure mode strategy against DoS attacks is modeled as the asynchronous switching between agent models and topologies. Finally, we obtain the sufficient conditions on the frequency and duration of DoS attacks, under which the designed controller can guarantee the consensus of MASs. By practical examples, the MASs with the secure mode strategy are illustrated to have better attack-resistant effectiveness than the ones without the secure mode strategy.
Details
- Title: Subtitle
- Distributed Event-Triggered Control for Multiagent Systems Under Denial-of-Service Attacked Topology: Secure Mode Strategy
- Creators
- Tian-Yu Zhang - College of Information Science and Engineering, Northeastern University, Shenyang, ChinaDan Ye - Northeastern UniversityGe Guo - Northeastern UniversityTianyu Zhang - Computer Science
- Resource Type
- Journal article
- Publication Details
- IEEE transactions on systems, man, and cybernetics. Systems, Vol.52(10), pp.6534-6544
- Publisher
- IEEE
- DOI
- 10.1109/TSMC.2022.3147773
- ISSN
- 2168-2216
- eISSN
- 2168-2232
- Grant note
- XLYC1907035 / Liaoning Revitalization Talents Program (10.13039/501100018617) 62173071; U1813214; 62173079; U1808205 / National Natural Science Foundation of China (10.13039/501100001809) 202062 / Liaoning BaiQianWan Talents Program
- Language
- English
- Date published
- 10/01/2022
- Academic Unit
- Computer Science
- Record Identifier
- 9984696580702771
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