A process is now in development to enhance cybersecurity of chemical process control systems.

Smart manufacturing processes are becoming more automated with the help of algorithms that aim to boost profits, reduce resource use and decrease human error.

In industries using chemical reactions, separation and transport, these smart manufacturing processes are expected to enhance production efficiency. In health care, water treatment and irrigation systems, smart manufacturing is also making an impact; however, they face the challenge of cyberattacks on control systems that perform communication and computation to enable automation of these systems.

The goal is that will soon change with the help of a three-year, $500,000 grant from the National Science Foundation. That is because a research team from Wayne State University in Michigan will comprehensively evaluate the characteristics of cyberattacks for processes involving chemical processes of different types, and will develop fundamental advances in control theory and algorithms for enhancing cybersecurity of control systems for these processes through control designs integrated with other frameworks such as detection algorithms.

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Led by Helen Durand, Ph.D., assistant professor of chemical engineering and materials science in Wayne State’s College of Engineering, the team of researchers will work to design stronger safeguards against automation systems attacks that can impact critical factors such as safety, profitability or production volume.

“Our research will develop algorithms that detect cyberattacks and alert company personnel to their presence for chemical processes described by complex dynamic models,” said Durand. “Our project seeks to characterize the conditions under which the process automation algorithms can be made resilient to cyberattacks on various aspects of the automation systems so that attempted attacks are not successful.”

Durand and her team will determine the conditions under which cybersecurity enhancement is needed. They will create a mathematical formalization of different types of undesirable behaviors for various chemical processes where cyberattacks may occur.

Dr. Helen Durand from Wayne State University received a $500,000 grant to design stronger safeguards against automation systems attacks.
Source: Alexis Wright, Wayne State University

In addition, they will develop detection techniques that will guarantee a cyberattack will not create an undesirable behavior if it does penetrate certain information technology defenses. The team will also develop novel sensing and control capabilities for cyber-physical systems to increase flexibility of chemical processes to understand how they may be cyber-attacked.

The team’s work will lead to processes for detecting cyberattacks to chemical processes in manufacturing industries that will alert company personnel to their presence in hopes to avoid disasters.

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