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- Publisher Website: 10.1016/j.ins.2021.01.063
- Scopus: eid_2-s2.0-85101330031
- WOS: WOS:000670877900002
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Article: Master–slave synchronization of neural networks subject to mixed-type communication attacks
Title | Master–slave synchronization of neural networks subject to mixed-type communication attacks |
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Authors | |
Keywords | Cyber-attack Deception attack DoS attack Neural network Replay attack |
Issue Date | 2021 |
Publisher | Elsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/ins |
Citation | Information Sciences, 2021, v. 560, p. 20-34 How to Cite? |
Abstract | This paper concerns the master–slave synchronization issue of neural networks subject to mixed-type communication attacks. The synchronization strategy is based on static output feedback controller followed by an event-triggered scheme. The communication network is assumed to be under various types of cyber-attacks, namely, deception, replay, and denial-of-service attacks. All these attacks are investigated in a unified Markovian jump framework. Using the Lyapunov–Krasovskii theory and stochastic analysis techniques, some design criteria are derived and formulated in terms of matrix inequalities. A convex optimization algorithm is proposed to design the static output feedback controller. Finally, two chaotic examples are presented to demonstrate the effectiveness of the event-triggered static output feedback controller. |
Persistent Identifier | http://hdl.handle.net/10722/303968 |
ISSN | 2022 Impact Factor: 8.1 2023 SCImago Journal Rankings: 2.238 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Kazemy, A | - |
dc.contributor.author | Saravanakumar, R | - |
dc.contributor.author | Lam, J | - |
dc.date.accessioned | 2021-09-23T08:53:21Z | - |
dc.date.available | 2021-09-23T08:53:21Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Information Sciences, 2021, v. 560, p. 20-34 | - |
dc.identifier.issn | 0020-0255 | - |
dc.identifier.uri | http://hdl.handle.net/10722/303968 | - |
dc.description.abstract | This paper concerns the master–slave synchronization issue of neural networks subject to mixed-type communication attacks. The synchronization strategy is based on static output feedback controller followed by an event-triggered scheme. The communication network is assumed to be under various types of cyber-attacks, namely, deception, replay, and denial-of-service attacks. All these attacks are investigated in a unified Markovian jump framework. Using the Lyapunov–Krasovskii theory and stochastic analysis techniques, some design criteria are derived and formulated in terms of matrix inequalities. A convex optimization algorithm is proposed to design the static output feedback controller. Finally, two chaotic examples are presented to demonstrate the effectiveness of the event-triggered static output feedback controller. | - |
dc.language | eng | - |
dc.publisher | Elsevier Inc. The Journal's web site is located at http://www.elsevier.com/locate/ins | - |
dc.relation.ispartof | Information Sciences | - |
dc.subject | Cyber-attack | - |
dc.subject | Deception attack | - |
dc.subject | DoS attack | - |
dc.subject | Neural network | - |
dc.subject | Replay attack | - |
dc.title | Master–slave synchronization of neural networks subject to mixed-type communication attacks | - |
dc.type | Article | - |
dc.identifier.email | Lam, J: jlam@hku.hk | - |
dc.identifier.authority | Lam, J=rp00133 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.ins.2021.01.063 | - |
dc.identifier.scopus | eid_2-s2.0-85101330031 | - |
dc.identifier.hkuros | 325373 | - |
dc.identifier.volume | 560 | - |
dc.identifier.spage | 20 | - |
dc.identifier.epage | 34 | - |
dc.identifier.isi | WOS:000670877900002 | - |
dc.publisher.place | United States | - |