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Automotive Cybersecurity Testing: Survey of Testbeds and Methods

Shahid Mahmood, Hoang Nguyen Orcid Logo, Siraj A. Shaikh

Studies in Big Data, Pages: 219 - 243

Swansea University Author: Hoang Nguyen Orcid Logo

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DOI (Published version): 10.1007/978-3-030-65722-2_14

Abstract

Computing and connectivity capabilities in modern cars have introduced new cybersecurity challenges that can potentially affect the safety of an automobile and its occupants. Effective cybersecurity testing of vehicles can play a crucial role in discovering and addressing security flaws; however tes...

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Published in: Studies in Big Data
ISBN: 9783030657215 9783030657222
ISSN: 2197-6503 2197-6511
Published: Cham Springer International Publishing
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URI: https://cronfa.swan.ac.uk/Record/cronfa63978
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first_indexed 2023-09-22T14:55:45Z
last_indexed 2023-09-22T14:55:45Z
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spelling v2 63978 2023-07-27 Automotive Cybersecurity Testing: Survey of Testbeds and Methods cb24d5c5080534dc5b5e3390f24dd422 0000-0003-0260-1697 Hoang Nguyen Hoang Nguyen true false 2023-07-27 SCS Computing and connectivity capabilities in modern cars have introduced new cybersecurity challenges that can potentially affect the safety of an automobile and its occupants. Effective cybersecurity testing of vehicles can play a crucial role in discovering and addressing security flaws; however testing a real vehicle (involving cyber-physical components) carries safety and economic risks. Therefore, many researchers and practitioners rely on testing environments (commonly known as testbeds) for uncovering cybersecurity vulnerabilities. Effective and efficient security testing needs the application of appropriate and systematic testing methods. This study presents a survey of seven different automotive cybersecurity testbeds proposed over the last ten years (between 2012 and 2019) as well as four different types of cybersecurity testing methods employed by cybersecurity researchers. This survey will help students, researchers, and professionals with designing and building their testbeds and refining their testing techniques and methodologies. Book chapter Studies in Big Data 219 243 Springer International Publishing Cham 9783030657215 9783030657222 2197-6503 2197-6511 Automotive, Cybersecurity, Testbed, Testing, Approaches, Methods 0 0 0 0001-01-01 10.1007/978-3-030-65722-2_14 http://dx.doi.org/10.1007/978-3-030-65722-2_14 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2023-09-22T15:55:46.3720180 2023-07-27T14:24:30.5567670 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Shahid Mahmood 1 Hoang Nguyen 0000-0003-0260-1697 2 Siraj A. Shaikh 3
title Automotive Cybersecurity Testing: Survey of Testbeds and Methods
spellingShingle Automotive Cybersecurity Testing: Survey of Testbeds and Methods
Hoang Nguyen
title_short Automotive Cybersecurity Testing: Survey of Testbeds and Methods
title_full Automotive Cybersecurity Testing: Survey of Testbeds and Methods
title_fullStr Automotive Cybersecurity Testing: Survey of Testbeds and Methods
title_full_unstemmed Automotive Cybersecurity Testing: Survey of Testbeds and Methods
title_sort Automotive Cybersecurity Testing: Survey of Testbeds and Methods
author_id_str_mv cb24d5c5080534dc5b5e3390f24dd422
author_id_fullname_str_mv cb24d5c5080534dc5b5e3390f24dd422_***_Hoang Nguyen
author Hoang Nguyen
author2 Shahid Mahmood
Hoang Nguyen
Siraj A. Shaikh
format Book chapter
container_title Studies in Big Data
container_start_page 219
institution Swansea University
isbn 9783030657215
9783030657222
issn 2197-6503
2197-6511
doi_str_mv 10.1007/978-3-030-65722-2_14
publisher Springer International Publishing
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/10.1007/978-3-030-65722-2_14
document_store_str 0
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description Computing and connectivity capabilities in modern cars have introduced new cybersecurity challenges that can potentially affect the safety of an automobile and its occupants. Effective cybersecurity testing of vehicles can play a crucial role in discovering and addressing security flaws; however testing a real vehicle (involving cyber-physical components) carries safety and economic risks. Therefore, many researchers and practitioners rely on testing environments (commonly known as testbeds) for uncovering cybersecurity vulnerabilities. Effective and efficient security testing needs the application of appropriate and systematic testing methods. This study presents a survey of seven different automotive cybersecurity testbeds proposed over the last ten years (between 2012 and 2019) as well as four different types of cybersecurity testing methods employed by cybersecurity researchers. This survey will help students, researchers, and professionals with designing and building their testbeds and refining their testing techniques and methodologies.
published_date 0001-01-01T15:55:45Z
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score 11.013731

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