Detecting and Localizing Cyber-Physical Attacks in Water Distribution Systems without Records of Labeled Attacks
Modern water distribution systems (WDSs) offer automated controls and operations to improve their efficiency and reliability. Nonetheless, such automation can be vulnerable to cyber-attacks. Therefore, various approaches have been suggested to detect cyber-attacks in WDSs. However, most of these app...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-08-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/22/16/6035 |
| _version_ | 1797442177238827008 |
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| author | Mashor Housh Noy Kadosh Jack Haddad |
| author_facet | Mashor Housh Noy Kadosh Jack Haddad |
| author_sort | Mashor Housh |
| collection | DOAJ |
| description | Modern water distribution systems (WDSs) offer automated controls and operations to improve their efficiency and reliability. Nonetheless, such automation can be vulnerable to cyber-attacks. Therefore, various approaches have been suggested to detect cyber-attacks in WDSs. However, most of these approaches rely on labeled attack records which are rarely available in real-world applications. Thus, for a detection model to be practical, it should be able to detect and localize events without referring to a predetermined list of labeled attacks. This study proposes a semi-supervised approach that relies solely on attack-free datasets to address this challenge. The approach utilizes a reduction in dimensionality by using maximum canonical correlation analysis (MCCA) followed by support vector data description (SVDD). The developed algorithm was tested on two case studies and various datasets, demonstrating consistently high performance in detecting and localizing cyber-attacks. |
| first_indexed | 2024-03-09T12:38:03Z |
| format | Article |
| id | doaj.art-942d2297ade049519e1ac09cd5cdc480 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-03-09T12:38:03Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-942d2297ade049519e1ac09cd5cdc4802023-11-30T22:22:30ZengMDPI AGSensors1424-82202022-08-012216603510.3390/s22166035Detecting and Localizing Cyber-Physical Attacks in Water Distribution Systems without Records of Labeled AttacksMashor Housh0Noy Kadosh1Jack Haddad2Department of Natural Resources and Environmental Management, University of Haifa, Haifa 3498838, IsraelFaculty of Civil and Environmental Engineering, Technion–Israel Institute of Technology, Haifa 3200003, IsraelFaculty of Civil and Environmental Engineering, Technion–Israel Institute of Technology, Haifa 3200003, IsraelModern water distribution systems (WDSs) offer automated controls and operations to improve their efficiency and reliability. Nonetheless, such automation can be vulnerable to cyber-attacks. Therefore, various approaches have been suggested to detect cyber-attacks in WDSs. However, most of these approaches rely on labeled attack records which are rarely available in real-world applications. Thus, for a detection model to be practical, it should be able to detect and localize events without referring to a predetermined list of labeled attacks. This study proposes a semi-supervised approach that relies solely on attack-free datasets to address this challenge. The approach utilizes a reduction in dimensionality by using maximum canonical correlation analysis (MCCA) followed by support vector data description (SVDD). The developed algorithm was tested on two case studies and various datasets, demonstrating consistently high performance in detecting and localizing cyber-attacks.https://www.mdpi.com/1424-8220/22/16/6035water cyber-physical systemssmart water systemscyber security of water systems |
| spellingShingle | Mashor Housh Noy Kadosh Jack Haddad Detecting and Localizing Cyber-Physical Attacks in Water Distribution Systems without Records of Labeled Attacks Sensors water cyber-physical systems smart water systems cyber security of water systems |
| title | Detecting and Localizing Cyber-Physical Attacks in Water Distribution Systems without Records of Labeled Attacks |
| title_full | Detecting and Localizing Cyber-Physical Attacks in Water Distribution Systems without Records of Labeled Attacks |
| title_fullStr | Detecting and Localizing Cyber-Physical Attacks in Water Distribution Systems without Records of Labeled Attacks |
| title_full_unstemmed | Detecting and Localizing Cyber-Physical Attacks in Water Distribution Systems without Records of Labeled Attacks |
| title_short | Detecting and Localizing Cyber-Physical Attacks in Water Distribution Systems without Records of Labeled Attacks |
| title_sort | detecting and localizing cyber physical attacks in water distribution systems without records of labeled attacks |
| topic | water cyber-physical systems smart water systems cyber security of water systems |
| url | https://www.mdpi.com/1424-8220/22/16/6035 |
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