Stealthy Cyberattacks Detection Based on Control Performance Assessment Methods for the Air Conditioning Industrial Installation

Jakub Filip Możaryn (), Michał Frątczak, Krzysztof Stebel, Tomasz Kłopot, Witold Nocoń, Andrzej Ordys and Stepan Ozana
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Jakub Filip Możaryn: Faculty of Mechatronics, Institute of Automatic Control and Robotics, Warsaw University of Technology, 00-661 Warsaw, Poland
Michał Frątczak: Department of Automatic Control and Robotics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100 Gliwice, Poland
Krzysztof Stebel: Department of Automatic Control and Robotics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100 Gliwice, Poland
Tomasz Kłopot: Department of Automatic Control and Robotics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100 Gliwice, Poland
Witold Nocoń: Department of Automatic Control and Robotics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100 Gliwice, Poland
Andrzej Ordys: Faculty of Mechatronics, Institute of Automatic Control and Robotics, Warsaw University of Technology, 00-661 Warsaw, Poland
Stepan Ozana: Department of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 708 00 Ostrava, Czech Republic

Energies, 2023, vol. 16, issue 3, 1-15

Abstract: This paper aims to study the workflow of the detection centre of stealthy attacks on industrial installations that generate an increase in energy consumption. Such long-lasting, undetected attacks on industrial facilities make production more expensive and less competitive or damage the installation in the long term. We present the concept of the remote detection system of cyberattacks directed at maliciously changing the controlled variable in an industrial process air conditioning system. The monitored signals are gathered at the PLC-controlled installation and sent to the remote detection system, where the discrepancies of signals are analysed based on the Control Performance Assessment indices. The results of performed tests prove the legitimacy of the adopted approach.

Keywords: cyberattack; control variable; feedback system; cyberattack detection; process air conditioning station (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2023
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