Integrating Security in Process Control Loop: A Case for Proportional-Integral-Derivative Algorithm

Omagbemi Oghogho Weyinmi

Department of Physics, Federal University of Petroleum Resources, Effurun, Nigeria.

Mbonu Ekene Samuel *

Department of Mechatronics, Federal University of Technology, Owerri, Nigeria.

*Author to whom correspondence should be addressed.


Abstract

This work presented mathematical models and flow charts for implementing secure Proportional-Integral-Derivative (PID) algorithm in a process control loop. A number of security solutions have been recommended and some deployed in a process control system. Majority of these solutions are network based while others leverage on good security policy. A security solution based on network can be effective for securing control system from external threat agents who have to first of all, gain access to the control network. But for an internal threat agent or a disgruntled insider who does not only have the right privilege but also has a good understanding of the control system's operation, a network security is definitely not going to be effective. This work used system analysis to identify the possible things an internal threat agent can do to manipulate a control system using PID control algorithm as a case study. A secured PID mathematical model is proposed as a proactive mitigation technique to embedding security in a process control loop. As ongoing research, future work will concentrate on simulation and prototyping of the secured algorithm presented in this work. The proposed secured algorithm will not only serve as an additional security layer in industrial control system (ICS) but will also be relevant in the control domain of Internet of Things.

Keywords: Disgruntled insiders, internal threat agents, process control loop, Proportional-Integral-Derivative algorithm secure mathematical models.


How to Cite

Weyinmi, Omagbemi Oghogho, and Mbonu Ekene Samuel. 2019. “Integrating Security in Process Control Loop: A Case for Proportional-Integral-Derivative Algorithm”. Physical Science International Journal 21 (2):1-17. https://doi.org/10.9734/psij/2019/v21i230107.

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