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,
Stepan Ozana
Affiliations
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
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.
