Robust decentralized diagnosability of networked discrete event systems against DoS and deception attacks

DOI10.1016/j.nahs.2022.101162zbMath1483.68015OpenAlexW4212998164MaRDI QIDQ2123407

Raphael Julio Barcelos, Marcos V. S. Alves, João Carlos Basilio, Lilian Kawakami Carvalho

Publication date: 8 April 2022

Published in: Nonlinear Analysis. Hybrid Systems (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.nahs.2022.101162

zbMATH Keywords

robustnessfault diagnosisdiscrete event systemsautomatondeception attacksdenial-of-service attacks

Mathematics Subject Classification ID

Network design and communication in computer systems (68M10) Formal languages and automata (68Q45) Discrete event control/observation systems (93C65) Reliability, testing and fault tolerance of networks and computer systems (68M15)

Related Items (2)

Dissipative consensus for two-time-scale semi-Markov jump multi-agent systems against false data injection attacks via a dynamic event-triggered scheme ⋮ Dynamic switched periodic event‐triggered control systems under denial‐of‐service attacks

Uses Software

• UMDES

Cites Work

• Computation of minimal diagnosis bases of discrete-event systems using verifiers
• Detection and mitigation of classes of attacks in supervisory control systems
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• Robust diagnosis of discrete event systems against intermittent loss of observations
• Robust diagnosis of discrete-event systems against permanent loss of observations
• Coordinated decentralized protocols for failure diagnosis of discrete event systems
• Introduction to Discrete Event Systems
• Supervisory Control of Networked Discrete Event Systems With Timing Structure
• Robust supervisory control of discrete event systems against intermittent loss of observations
• Codiagnosability Analysis of Discrete-Event Systems Modeled by Weighted Automata
• Decentralized Control of Discrete-Event Systems With Bounded or Unbounded Delay Communication
• Attack Detection and Identification in Cyber-Physical Systems
• Control of Networked Discrete Event Systems: Dealing with Communication Delays and Losses

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