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Open AccessArticle

Mitigating Safety Concerns and Profit/Production Losses for Chemical Process Control Systems under Cyberattacks via Design/Control Methods

by Helen Durand *,†,‡ and Matthew Wegener
Department of Chemical Engineering and Materials Science, Wayne State University, 5050 Anthony Wayne Drive, Detroit, MI 48202, USA
*
Author to whom correspondence should be addressed.
This paper is an extended version of our paper published in the Proceedings of the 2019 Foundations of Computer-Aided Process Design Conference and the Proceedings of the American Control Conference.
Current address: 5050 Anthony Wayne Drive, Detroit, MI 48202, USA.
Mathematics 2020, 8(4), 499; https://doi.org/10.3390/math8040499
Received: 31 December 2019 / Revised: 18 March 2020 / Accepted: 27 March 2020 / Published: 2 April 2020
One of the challenges for chemical processes today, from a safety and profit standpoint, is the potential that cyberattacks could be performed on components of process control systems. Safety issues could be catastrophic; however, because the nonlinear systems definition of a cyberattack has similarities to a nonlinear systems definition of faults, many processes have already been instrumented to handle various problematic input conditions. Also challenging is the question of how to design a system that is resilient to attacks attempting to impact the production volumes or profits of a company. In this work, we explore a process/equipment design framework for handling safety issues in the presence of cyberattacks (in the spirit of traditional HAZOP thinking), and present a method for bounding the profit/production loss which might be experienced by a plant under a cyberattack through the use of a sufficiently conservative operating strategy combined with the assumption that an attack detection method with characterizable time to detection is available. View Full-Text
Keywords: process control; process design; cybersecurity; process operational safety; nonlinear dynamic systems process control; process design; cybersecurity; process operational safety; nonlinear dynamic systems
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Durand, H.; Wegener, M. Mitigating Safety Concerns and Profit/Production Losses for Chemical Process Control Systems under Cyberattacks via Design/Control Methods. Mathematics 2020, 8, 499.

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