Diagnosability and attack detection for discrete event systems under sensor attacks
Author:
Funder
National Science Foundation
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10626-024-00401-6.pdf
Reference37 articles.
1. Alves MRC, Pena PN, Rudie K (2022) Discrete-event systems subject to unknown sensor attacks. Discrete Event Dynamic Systems: Theory and Applications 32:143–158
2. Alves MV, Barcelos RJ, Carvalho LK, Basilio JC (2022) Robust decentralized diagnosability of networked discrete event systems against dos and deception attacks. Nonlinear Anal Hybrid Syst 44:101162
3. Basilio JC, Hadjicostis CN, Su R (2021) Analysis and control for resilience of discrete event systems: Fault diagnosis, opacity and cyber security. Foundations and Trends in Systems and Control 8(4):285–443
4. Carvalho LK, Wu YC, Kwong R, Lafortune S (2018) Detection and mitigation of classes of attacks in supervisory control systems. Automatica 97:121–133
5. Carvalho LK, Moreira MV, Basilio JC (2021) Comparative analysis of related notions of robust diagnosability of discrete-event systems. Annu Rev Control 51:23–36
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