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Identifying and Predicting Cybersecurity Threats in Industry 4.0 Based on the Motivations Towards a Critical Infrastructure

Alqudhaibi, Adel ; Aloseel, Abdulmohsan ; Jagtap, Sandeep LU orcid and Salonitis, Konstantinos (2022) 19th International Conference on Manufacturing Research, ICMR 2022 In Advances in Transdisciplinary Engineering 25. p.10-16
Abstract

Industry 4.0 (I4.0) is an emerging concept describing the business setting application of a broad set of digitalisation technologies, connectivity, and automation. The most common critical infrastructure (CI) uses Industrial Control Systems (ICS) for operation and supervisory control. However, the Supervisory Control and Data Acquisition (SCADA) and Internet of things (IoT) systems are examples of ICSs applications. These systems, like any other systems exposed to many security risks and are vulnerable to many threats. This is mainly due to the lack of objective standards and proactive security countermeasures that companies unintentionally neglected in the early stages of designing these systems. It is also due to the absence of... (More)

Industry 4.0 (I4.0) is an emerging concept describing the business setting application of a broad set of digitalisation technologies, connectivity, and automation. The most common critical infrastructure (CI) uses Industrial Control Systems (ICS) for operation and supervisory control. However, the Supervisory Control and Data Acquisition (SCADA) and Internet of things (IoT) systems are examples of ICSs applications. These systems, like any other systems exposed to many security risks and are vulnerable to many threats. This is mainly due to the lack of objective standards and proactive security countermeasures that companies unintentionally neglected in the early stages of designing these systems. It is also due to the absence of managerial and technical skills necessary to implement them. Therefore, identifying and preventing potential security threats against CIs is the focus of this paper. A novel security approach concept that can predict cybersecurity threats based on the CI nature and take into consideration the attack motivations accordingly has been delivered in this paper. The proposed concept of this approach will also facilitate the detection of potential attack types and the required countermeasures in particular infrastructures.

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Please use this url to cite or link to this publication:
author
; ; and
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Critical Infrastructure (CI), Cybersecurity, Digitalisation, Industry 4.0, Manufacturing, Motivations
host publication
Advances in Manufacturing Technology XXXV - Proceedings of the 19th International Conference on Manufacturing Research, Incorporating the 36th National Conference on Manufacturing Research
series title
Advances in Transdisciplinary Engineering
editor
Shafik, Mahmoud and Case, Keith
volume
25
pages
7 pages
publisher
IOS Press
conference name
19th International Conference on Manufacturing Research, ICMR 2022
conference location
Derby, United Kingdom
conference dates
2022-09-06 - 2022-09-08
external identifiers
  • scopus:85145600977
ISBN
9781614994398
DOI
10.3233/ATDE220599
language
English
LU publication?
no
additional info
Publisher Copyright: © 2022 The authors and IOS Press.
id
d67fca04-6d9a-4519-b39f-68a80e5d81ea
date added to LUP
2023-09-17 14:53:22
date last changed
2024-03-22 00:23:15
@inproceedings{d67fca04-6d9a-4519-b39f-68a80e5d81ea,
  abstract     = {{<p>Industry 4.0 (I4.0) is an emerging concept describing the business setting application of a broad set of digitalisation technologies, connectivity, and automation. The most common critical infrastructure (CI) uses Industrial Control Systems (ICS) for operation and supervisory control. However, the Supervisory Control and Data Acquisition (SCADA) and Internet of things (IoT) systems are examples of ICSs applications. These systems, like any other systems exposed to many security risks and are vulnerable to many threats. This is mainly due to the lack of objective standards and proactive security countermeasures that companies unintentionally neglected in the early stages of designing these systems. It is also due to the absence of managerial and technical skills necessary to implement them. Therefore, identifying and preventing potential security threats against CIs is the focus of this paper. A novel security approach concept that can predict cybersecurity threats based on the CI nature and take into consideration the attack motivations accordingly has been delivered in this paper. The proposed concept of this approach will also facilitate the detection of potential attack types and the required countermeasures in particular infrastructures.</p>}},
  author       = {{Alqudhaibi, Adel and Aloseel, Abdulmohsan and Jagtap, Sandeep and Salonitis, Konstantinos}},
  booktitle    = {{Advances in Manufacturing Technology XXXV - Proceedings of the 19th International Conference on Manufacturing Research, Incorporating the 36th National Conference on Manufacturing Research}},
  editor       = {{Shafik, Mahmoud and Case, Keith}},
  isbn         = {{9781614994398}},
  keywords     = {{Critical Infrastructure (CI); Cybersecurity; Digitalisation; Industry 4.0; Manufacturing; Motivations}},
  language     = {{eng}},
  month        = {{11}},
  pages        = {{10--16}},
  publisher    = {{IOS Press}},
  series       = {{Advances in Transdisciplinary Engineering}},
  title        = {{Identifying and Predicting Cybersecurity Threats in Industry 4.0 Based on the Motivations Towards a Critical Infrastructure}},
  url          = {{http://dx.doi.org/10.3233/ATDE220599}},
  doi          = {{10.3233/ATDE220599}},
  volume       = {{25}},
  year         = {{2022}},
}