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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Jakub Filip Możaryn & Michał Frątczak & Krzysztof Stebel & Tomasz Kłopot & Witold Nocoń & Andrzej Ordys & Stepan Ozana, 2023. "Stealthy Cyberattacks Detection Based on Control Performance Assessment Methods for the Air Conditioning Industrial Installation," Energies, MDPI, vol. 16(3), pages 1-15, January.
    • Handle: RePEc:gam:jeners:v:16:y:2023:i:3:p:1290-:d:1046600
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    References listed on IDEAS

    as
    1. Wang, Wu & Harrou, Fouzi & Bouyeddou, Benamar & Senouci, Sidi-Mohammed & Sun, Ying, 2022. "Cyber-attacks detection in industrial systems using artificial intelligence-driven methods," International Journal of Critical Infrastructure Protection, Elsevier, vol. 38(C).
    2. Dan Li & Kamran Paynabar & Nagi Gebraeel, 2021. "A degradation-based detection framework against covert cyberattacks on SCADA systems," IISE Transactions, Taylor & Francis Journals, vol. 53(7), pages 812-829, April.
    3. Michał Syfert & Andrzej Ordys & Jan Maciej Kościelny & Paweł Wnuk & Jakub Możaryn & Krzysztof Kukiełka, 2022. "Integrated Approach to Diagnostics of Failures and Cyber-Attacks in Industrial Control Systems," Energies, MDPI, vol. 15(17), pages 1-24, August.
    Full references (including those not matched with items on IDEAS)

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