Stealthy Cyberattacks Detection Based on Control Performance Assessment Methods for the Air Conditioning Industrial Installation
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...
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Format: | Article |
Language: | English |
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MDPI AG
2023-01-01
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Series: | Energies |
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Online Access: | https://www.mdpi.com/1996-1073/16/3/1290 |
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author | Jakub Filip Możaryn Michał Frątczak Krzysztof Stebel Tomasz Kłopot Witold Nocoń Andrzej Ordys Stepan Ozana |
author_facet | Jakub Filip Możaryn Michał Frątczak Krzysztof Stebel Tomasz Kłopot Witold Nocoń Andrzej Ordys Stepan Ozana |
author_sort | Jakub Filip Możaryn |
collection | DOAJ |
description | 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. |
first_indexed | 2024-03-11T09:45:49Z |
format | Article |
id | doaj.art-33dd16579e3b42e686f78e53182f8e36 |
institution | Directory Open Access Journal |
issn | 1996-1073 |
language | English |
last_indexed | 2024-03-11T09:45:49Z |
publishDate | 2023-01-01 |
publisher | MDPI AG |
record_format | Article |
series | Energies |
spelling | doaj.art-33dd16579e3b42e686f78e53182f8e362023-11-16T16:35:23ZengMDPI AGEnergies1996-10732023-01-01163129010.3390/en16031290Stealthy Cyberattacks Detection Based on Control Performance Assessment Methods for the Air Conditioning Industrial InstallationJakub Filip Możaryn0Michał Frątczak1Krzysztof Stebel2Tomasz Kłopot3Witold Nocoń4Andrzej Ordys5Stepan Ozana6Faculty of Mechatronics, Institute of Automatic Control and Robotics, Warsaw University of Technology, 00-661 Warsaw, PolandDepartment of Automatic Control and Robotics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100 Gliwice, PolandDepartment of Automatic Control and Robotics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100 Gliwice, PolandDepartment of Automatic Control and Robotics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100 Gliwice, PolandDepartment of Automatic Control and Robotics, Faculty of Automatic Control, Electronics and Computer Science, Silesian University of Technology, 44-100 Gliwice, PolandFaculty of Mechatronics, Institute of Automatic Control and Robotics, Warsaw University of Technology, 00-661 Warsaw, PolandDepartment of Cybernetics and Biomedical Engineering, Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, 708 00 Ostrava, Czech RepublicThis 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.https://www.mdpi.com/1996-1073/16/3/1290cyberattackcontrol variablefeedback systemcyberattack detectionprocess air conditioning station |
spellingShingle | Jakub Filip Możaryn Michał Frątczak Krzysztof Stebel Tomasz Kłopot Witold Nocoń Andrzej Ordys Stepan Ozana Stealthy Cyberattacks Detection Based on Control Performance Assessment Methods for the Air Conditioning Industrial Installation Energies cyberattack control variable feedback system cyberattack detection process air conditioning station |
title | Stealthy Cyberattacks Detection Based on Control Performance Assessment Methods for the Air Conditioning Industrial Installation |
title_full | Stealthy Cyberattacks Detection Based on Control Performance Assessment Methods for the Air Conditioning Industrial Installation |
title_fullStr | Stealthy Cyberattacks Detection Based on Control Performance Assessment Methods for the Air Conditioning Industrial Installation |
title_full_unstemmed | Stealthy Cyberattacks Detection Based on Control Performance Assessment Methods for the Air Conditioning Industrial Installation |
title_short | Stealthy Cyberattacks Detection Based on Control Performance Assessment Methods for the Air Conditioning Industrial Installation |
title_sort | stealthy cyberattacks detection based on control performance assessment methods for the air conditioning industrial installation |
topic | cyberattack control variable feedback system cyberattack detection process air conditioning station |
url | https://www.mdpi.com/1996-1073/16/3/1290 |
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