Attack-Resilient Supervisory Control of Discrete-Event Systems: A Finite-State Transducer Approach

Yu Wang; Alper Kamil Bozkurt; Nathan Smith; Miroslav Pajic

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arXiv · 1904.03264

Attack-Resilient Supervisory Control of Discrete-Event Systems: A Finite-State Transducer Approach

Yu Wang·Alper Kamil Bozkurt·Nathan Smith·Miroslav Pajic

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Abstract

Resilience to sensor and actuator attacks is a major concern in the supervisory control of discrete events in cyber-physical systems (CPS). In this work, we propose a new framework to design supervisors for CPS under attacks using finite-state transducers (FSTs) to model the effects of the discrete events. FSTs can capture a general class of regular-rewriting attacks in which an attacker can nondeterministically rewrite sensing/actuation events according to a given regular relation. These include common insertion, deletion, event-wise replacement, and finite-memory replay attacks. We propose new theorems and algorithms with polynomial complexity to design resilient supervisors against these attacks. We also develop an open-source tool in Python based on the results and illustrate its applicability through a case study

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BibTeX RIS

Yu Wang, Alper Kamil Bozkurt, Nathan Smith, Miroslav Pajic. 2019-04-05. Attack-Resilient Supervisory Control of Discrete-Event Systems: A Finite-State Transducer Approach. https://arxiv.org/abs/1904.03264

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