TY - GEN
T1 - Robust Recovery and Control of Cyber-physical Discrete Event Systems under Actuator Attacks
AU - Oliveira, Samuel
AU - Anbarani, Mostafa Tavakkoli
AU - Beal, Gregory
AU - Kovalenko, Ilya
AU - Teixeira, Marcelo
AU - Leal, André B.
AU - Meira-Góes, Rômulo
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - Critical real-world applications strongly rely on Cyber-physical systems (CPS), but their dependence on communication networks introduces significant security risks, as attackers can exploit vulnerabilities to compromise their integrity and availability. This work explores the topic of cybersecurity in the context of CPS modeled as discrete event systems (DES), focusing on recovery strategies following the detection of cyberattacks. Specifically, we address actuator enablement attacks and propose a method that preserves the system's full valid behavior under normal conditions. Upon detecting an attack, our proposed solution aims to guide the system toward a restricted yet robust behavior, ensuring operational continuity and resilience. Additionally, we introduce a property termed AE-robust recoverability, which characterizes the necessary and sufficient conditions for recovering a system from attacks while preventing further vulnerabilities. Finally, we showcase the proposed solution through a case study based on a manufacturing system.
AB - Critical real-world applications strongly rely on Cyber-physical systems (CPS), but their dependence on communication networks introduces significant security risks, as attackers can exploit vulnerabilities to compromise their integrity and availability. This work explores the topic of cybersecurity in the context of CPS modeled as discrete event systems (DES), focusing on recovery strategies following the detection of cyberattacks. Specifically, we address actuator enablement attacks and propose a method that preserves the system's full valid behavior under normal conditions. Upon detecting an attack, our proposed solution aims to guide the system toward a restricted yet robust behavior, ensuring operational continuity and resilience. Additionally, we introduce a property termed AE-robust recoverability, which characterizes the necessary and sufficient conditions for recovering a system from attacks while preventing further vulnerabilities. Finally, we showcase the proposed solution through a case study based on a manufacturing system.
UR - https://www.scopus.com/pages/publications/105031878842
UR - https://www.scopus.com/pages/publications/105031878842#tab=citedBy
U2 - 10.1109/CDC57313.2025.11312935
DO - 10.1109/CDC57313.2025.11312935
M3 - Conference contribution
AN - SCOPUS:105031878842
T3 - Proceedings of the IEEE Conference on Decision and Control
SP - 1220
EP - 1226
BT - 2025 IEEE 64th Conference on Decision and Control, CDC 2025
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 64th IEEE Conference on Decision and Control, CDC 2025
Y2 - 9 December 2025 through 12 December 2025
ER -