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Resilient fixed-time synchronization of neural networks under DoS attacks.
- Source :
-
Journal of the Franklin Institute . Jan2023, Vol. 360 Issue 1, p555-573. 19p. - Publication Year :
- 2023
-
Abstract
- In this paper, the fixed-time synchronization of neural networks (NNs) with denial-of-service (DoS) attacks is investigated. A switching system with a stable subsystem and an unstable subsystem is utilized to describe the error dynamic behaviours between the master and slave NNs with DoS attacks. By virtue of the comparison principle, a novel fixed-time stability lemma for the switching system is established. The estimation of upper bound of setting time is provided. We further apply this lemma to investigate the resilient fixed-time synchronization of NNs subject to DoS attacks. By designing an appropriate controller, some sufficient criteria are proposed to guarantee the synchronization within a prearranged fixed time. The effects of DoS attacks on the settling time are discussed as well. Two numerical examples are given to show the effectiveness of main results and a potential application in the secure communication is provided. [ABSTRACT FROM AUTHOR]
- Subjects :
- *DENIAL of service attacks
*SYNCHRONIZATION
*NEURAL circuitry
Subjects
Details
- Language :
- English
- ISSN :
- 00160032
- Volume :
- 360
- Issue :
- 1
- Database :
- Academic Search Index
- Journal :
- Journal of the Franklin Institute
- Publication Type :
- Periodical
- Accession number :
- 160910298
- Full Text :
- https://doi.org/10.1016/j.jfranklin.2022.09.038