Journal article 11 views
A simulation framework for automotive cybersecurity risk assessment
Simulation Modelling Practice and Theory, Volume: 136, Start page: 103005
Swansea University Authors:
Siraj Shaikh , Hoang Nguyen
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DOI (Published version): 10.1016/j.simpat.2024.103005
Abstract
Human-initiated disruptions such as cyberattacks on connected vehicles have the potential to cause cascading failures in transport systems, leading to systemic risks. ‘ISO/SAE 21434:2021 Road vehicles - Cybersecurity engineering’ is the current standard for risk management of road vehicles. However,...
Published in: | Simulation Modelling Practice and Theory |
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ISSN: | 1569-190X |
Published: |
Elsevier BV
2024
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URI: | https://cronfa.swan.ac.uk/Record/cronfa67382 |
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v2 67382 2024-08-15 A simulation framework for automotive cybersecurity risk assessment 50117e8faac2d0937989e14847105704 0000-0002-0726-3319 Siraj Shaikh Siraj Shaikh true false cb24d5c5080534dc5b5e3390f24dd422 0000-0003-0260-1697 Hoang Nguyen Hoang Nguyen true false 2024-08-15 MACS Human-initiated disruptions such as cyberattacks on connected vehicles have the potential to cause cascading failures in transport systems, leading to systemic risks. ‘ISO/SAE 21434:2021 Road vehicles - Cybersecurity engineering’ is the current standard for risk management of road vehicles. However, the threat analysis and risk assessment framework given in the standard focuses on asset-level analysis and assessment. Hence, this study develops a novel simulation-based framework to perform threat analysis and risk assessment on connected vehicles from a transport network perspective. The proposed framework is developed based on the ISO/SAE 21434 threat analysis and risk assessment methodology. We demonstrate the applicability and usefulness of the framework through a remote attack via the cellular network on the in-vehicle communication bus system of a connected vehicle to show the potential impacts on the transport network. Based on the findings of our case studies, we exemplify how cyberattacks on individual system components of a connected vehicle have the potential to cause systemic failures. Journal Article Simulation Modelling Practice and Theory 136 103005 Elsevier BV 1569-190X 1 11 2024 2024-11-01 10.1016/j.simpat.2024.103005 http://dx.doi.org/10.1016/j.simpat.2024.103005 COLLEGE NANME Mathematics and Computer Science School COLLEGE CODE MACS Swansea University 2024-08-15T11:38:17.1167659 2024-08-15T11:35:17.9310000 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Don Nalin Dharshana Jayaratne 0000-0001-9493-5808 1 Suraj Harsha Kamtam 0000-0003-4687-796x 2 Siraj Shaikh 0000-0002-0726-3319 3 Muhamad Azfar Ramli 0000-0002-6321-0828 4 Qian Lu 5 Rakhi Manohar Mepparambath 0000-0003-3308-7838 6 Hoang Nguyen 0000-0003-0260-1697 7 Abdur Rakib 8 |
title |
A simulation framework for automotive cybersecurity risk assessment |
spellingShingle |
A simulation framework for automotive cybersecurity risk assessment Siraj Shaikh Hoang Nguyen |
title_short |
A simulation framework for automotive cybersecurity risk assessment |
title_full |
A simulation framework for automotive cybersecurity risk assessment |
title_fullStr |
A simulation framework for automotive cybersecurity risk assessment |
title_full_unstemmed |
A simulation framework for automotive cybersecurity risk assessment |
title_sort |
A simulation framework for automotive cybersecurity risk assessment |
author_id_str_mv |
50117e8faac2d0937989e14847105704 cb24d5c5080534dc5b5e3390f24dd422 |
author_id_fullname_str_mv |
50117e8faac2d0937989e14847105704_***_Siraj Shaikh cb24d5c5080534dc5b5e3390f24dd422_***_Hoang Nguyen |
author |
Siraj Shaikh Hoang Nguyen |
author2 |
Don Nalin Dharshana Jayaratne Suraj Harsha Kamtam Siraj Shaikh Muhamad Azfar Ramli Qian Lu Rakhi Manohar Mepparambath Hoang Nguyen Abdur Rakib |
format |
Journal article |
container_title |
Simulation Modelling Practice and Theory |
container_volume |
136 |
container_start_page |
103005 |
publishDate |
2024 |
institution |
Swansea University |
issn |
1569-190X |
doi_str_mv |
10.1016/j.simpat.2024.103005 |
publisher |
Elsevier BV |
college_str |
Faculty of Science and Engineering |
hierarchytype |
|
hierarchy_top_id |
facultyofscienceandengineering |
hierarchy_top_title |
Faculty of Science and Engineering |
hierarchy_parent_id |
facultyofscienceandengineering |
hierarchy_parent_title |
Faculty of Science and Engineering |
department_str |
School of Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science |
url |
http://dx.doi.org/10.1016/j.simpat.2024.103005 |
document_store_str |
0 |
active_str |
0 |
description |
Human-initiated disruptions such as cyberattacks on connected vehicles have the potential to cause cascading failures in transport systems, leading to systemic risks. ‘ISO/SAE 21434:2021 Road vehicles - Cybersecurity engineering’ is the current standard for risk management of road vehicles. However, the threat analysis and risk assessment framework given in the standard focuses on asset-level analysis and assessment. Hence, this study develops a novel simulation-based framework to perform threat analysis and risk assessment on connected vehicles from a transport network perspective. The proposed framework is developed based on the ISO/SAE 21434 threat analysis and risk assessment methodology. We demonstrate the applicability and usefulness of the framework through a remote attack via the cellular network on the in-vehicle communication bus system of a connected vehicle to show the potential impacts on the transport network. Based on the findings of our case studies, we exemplify how cyberattacks on individual system components of a connected vehicle have the potential to cause systemic failures. |
published_date |
2024-11-01T11:38:16Z |
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1807449636437229568 |
score |
11.021648 |