A review: Towards practical attack taxonomy for industrial control systems

Supervisory Control and Data Acquisition (SCADA) system is the underlying control system of most national critical infrastructures such as power, energy, water, transportation and telecommunication. In order to understand the potential threats to these infrastructures and the mechanisms to protect t...

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Main Authors: Qassim Q.S., Jamil N., Jidin R., Rusli M.E., Ahmad Zawawi M.N., Jamaludin M.Z., Z'aba M.R., Kamarulzaman W.A.W.
Other Authors: 36613541700
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Published: Science Publishing Corporation Inc 2023
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spelling my.uniten.dspace-239562023-05-29T14:53:31Z A review: Towards practical attack taxonomy for industrial control systems Qassim Q.S. Jamil N. Jidin R. Rusli M.E. Ahmad Zawawi M.N. Jamaludin M.Z. Z'aba M.R. Kamarulzaman W.A.W. 36613541700 36682671900 6508169028 16246214600 56997510600 57216839721 24726154700 6505975029 Supervisory Control and Data Acquisition (SCADA) system is the underlying control system of most national critical infrastructures such as power, energy, water, transportation and telecommunication. In order to understand the potential threats to these infrastructures and the mechanisms to protect them, different types of cyber-attacks applicable to these infrastructures need to be identified. Therefore, there is a significant need to have a comprehensive understanding of various types of cyber-attacks and its classification associated with both Opera-tion Technology (OT) and Information Technology (IT). This paper presents a comprehensive review of existing cyber-attack taxonomies available in the literature and evaluates these taxonomies based on defined criteria. � 2018 Qais Saif Qassim et. al. Final 2023-05-29T06:53:31Z 2023-05-29T06:53:31Z 2018 Article 2-s2.0-85081740610 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85081740610&partnerID=40&md5=5d99888c80ef8e5295b4e022f92a4ba4 https://irepository.uniten.edu.my/handle/123456789/23956 7 2.14 Special Issue 14 145 152 Science Publishing Corporation Inc Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
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description Supervisory Control and Data Acquisition (SCADA) system is the underlying control system of most national critical infrastructures such as power, energy, water, transportation and telecommunication. In order to understand the potential threats to these infrastructures and the mechanisms to protect them, different types of cyber-attacks applicable to these infrastructures need to be identified. Therefore, there is a significant need to have a comprehensive understanding of various types of cyber-attacks and its classification associated with both Opera-tion Technology (OT) and Information Technology (IT). This paper presents a comprehensive review of existing cyber-attack taxonomies available in the literature and evaluates these taxonomies based on defined criteria. � 2018 Qais Saif Qassim et. al.
author2 36613541700
author_facet 36613541700
Qassim Q.S.
Jamil N.
Jidin R.
Rusli M.E.
Ahmad Zawawi M.N.
Jamaludin M.Z.
Z'aba M.R.
Kamarulzaman W.A.W.
format Article
author Qassim Q.S.
Jamil N.
Jidin R.
Rusli M.E.
Ahmad Zawawi M.N.
Jamaludin M.Z.
Z'aba M.R.
Kamarulzaman W.A.W.
spellingShingle Qassim Q.S.
Jamil N.
Jidin R.
Rusli M.E.
Ahmad Zawawi M.N.
Jamaludin M.Z.
Z'aba M.R.
Kamarulzaman W.A.W.
A review: Towards practical attack taxonomy for industrial control systems
author_sort Qassim Q.S.
title A review: Towards practical attack taxonomy for industrial control systems
title_short A review: Towards practical attack taxonomy for industrial control systems
title_full A review: Towards practical attack taxonomy for industrial control systems
title_fullStr A review: Towards practical attack taxonomy for industrial control systems
title_full_unstemmed A review: Towards practical attack taxonomy for industrial control systems
title_sort review: towards practical attack taxonomy for industrial control systems
publisher Science Publishing Corporation Inc
publishDate 2023
_version_ 1806424439711072256
score 13.214268