No Cover Image

Journal article 11 views

A simulation framework for automotive cybersecurity risk assessment

Don Nalin Dharshana Jayaratne Orcid Logo, Suraj Harsha Kamtam Orcid Logo, Siraj Shaikh Orcid Logo, Muhamad Azfar Ramli Orcid Logo, Qian Lu, Rakhi Manohar Mepparambath Orcid Logo, Hoang Nguyen Orcid Logo, Abdur Rakib

Simulation Modelling Practice and Theory, Volume: 136, Start page: 103005

Swansea University Authors: Siraj Shaikh Orcid Logo, Hoang Nguyen Orcid Logo

Full text not available from this repository: check for access using links below.

Check full text

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,...

Full description

Published in: Simulation Modelling Practice and Theory
ISSN: 1569-190X
Published: Elsevier BV 2024
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa67382
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2024-08-15T10:38:16Z
last_indexed 2024-08-15T10:38:16Z
id cronfa67382
recordtype SURis
fullrecord <?xml version="1.0" encoding="utf-8"?><rfc1807 xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:xsd="http://www.w3.org/2001/XMLSchema"><bib-version>v2</bib-version><id>67382</id><entry>2024-08-15</entry><title>A simulation framework for automotive cybersecurity risk assessment</title><swanseaauthors><author><sid>50117e8faac2d0937989e14847105704</sid><ORCID>0000-0002-0726-3319</ORCID><firstname>Siraj</firstname><surname>Shaikh</surname><name>Siraj Shaikh</name><active>true</active><ethesisStudent>false</ethesisStudent></author><author><sid>cb24d5c5080534dc5b5e3390f24dd422</sid><ORCID>0000-0003-0260-1697</ORCID><firstname>Hoang</firstname><surname>Nguyen</surname><name>Hoang Nguyen</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2024-08-15</date><deptcode>MACS</deptcode><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, 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.</abstract><type>Journal Article</type><journal>Simulation Modelling Practice and Theory</journal><volume>136</volume><journalNumber/><paginationStart>103005</paginationStart><paginationEnd/><publisher>Elsevier BV</publisher><placeOfPublication/><isbnPrint/><isbnElectronic/><issnPrint>1569-190X</issnPrint><issnElectronic/><keywords/><publishedDay>1</publishedDay><publishedMonth>11</publishedMonth><publishedYear>2024</publishedYear><publishedDate>2024-11-01</publishedDate><doi>10.1016/j.simpat.2024.103005</doi><url>http://dx.doi.org/10.1016/j.simpat.2024.103005</url><notes/><college>COLLEGE NANME</college><department>Mathematics and Computer Science School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MACS</DepartmentCode><institution>Swansea University</institution><apcterm/><funders/><projectreference/><lastEdited>2024-08-15T11:38:17.1167659</lastEdited><Created>2024-08-15T11:35:17.9310000</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Mathematics and Computer Science - Computer Science</level></path><authors><author><firstname>Don Nalin Dharshana</firstname><surname>Jayaratne</surname><orcid>0000-0001-9493-5808</orcid><order>1</order></author><author><firstname>Suraj Harsha</firstname><surname>Kamtam</surname><orcid>0000-0003-4687-796x</orcid><order>2</order></author><author><firstname>Siraj</firstname><surname>Shaikh</surname><orcid>0000-0002-0726-3319</orcid><order>3</order></author><author><firstname>Muhamad Azfar</firstname><surname>Ramli</surname><orcid>0000-0002-6321-0828</orcid><order>4</order></author><author><firstname>Qian</firstname><surname>Lu</surname><order>5</order></author><author><firstname>Rakhi Manohar</firstname><surname>Mepparambath</surname><orcid>0000-0003-3308-7838</orcid><order>6</order></author><author><firstname>Hoang</firstname><surname>Nguyen</surname><orcid>0000-0003-0260-1697</orcid><order>7</order></author><author><firstname>Abdur</firstname><surname>Rakib</surname><order>8</order></author></authors><documents/><OutputDurs/></rfc1807>
spelling 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
_version_ 1807449636437229568
score 11.021648

Similar Items