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Supervisory Control of Discrete-Event Systems Under Attacks

Author

Listed:
  • Masashi Wakaiki

    (Kobe University)

  • Paulo Tabuada

    (University of California)

  • João P. Hespanha

    (University of California)

Abstract

We consider a multi-adversary version of the supervisory control problem for discrete-event systems (DES), in which an adversary corrupts the observations available to the supervisor. The supervisor’s goal is to enforce a specific language in spite of the opponent’s actions and without knowing which adversary it is playing against. This problem is motivated by applications to computer security in which a cyber defense system must make decisions based on reports from sensors that may have been tampered with by an attacker. We start by showing that the problem has a solution if and only if the desired language is controllable (in the DES classical sense) and observable in a (novel) sense that takes the adversaries into account. For the particular case of attacks that insert symbols into or remove symbols from the sequence of sensor outputs, we show that testing the existence of a supervisor and building the supervisor can be done using tools developed for the classical DES supervisory control problem, by considering a family of automata with modified output maps, but without expanding the size of the state space and without incurring on exponential complexity on the number of attacks considered.

Suggested Citation

  • Masashi Wakaiki & Paulo Tabuada & João P. Hespanha, 2019. "Supervisory Control of Discrete-Event Systems Under Attacks," Dynamic Games and Applications, Springer, vol. 9(4), pages 965-983, December.
  • Handle: RePEc:spr:dyngam:v:9:y:2019:i:4:d:10.1007_s13235-018-0285-3
    DOI: 10.1007/s13235-018-0285-3
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    Cited by:

    1. Zhenhua Yu & Xudong Duan & Xuya Cong & Xiangning Li & Li Zheng, 2023. "Detection of Actuator Enablement Attacks by Petri Nets in Supervisory Control Systems," Mathematics, MDPI, vol. 11(4), pages 1-23, February.
    2. Abdeldjalil Labed & Ikram Saadaoui & Hanyu E & Mohammed A. El-Meligy & Zhiwu Li & Mohamed Sharaf, 2023. "Language Recovery in Discrete-Event Systems against Sensor Deception Attacks," Mathematics, MDPI, vol. 11(10), pages 1-15, May.

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