Journal article 556 views 140 downloads
Collaborative Analysis Framework of Safety and Security for Autonomous Vehicles
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Giedre Sabaliauskaite ,
Lin Shen Liew,
Fengjun Zhou,
Biao Zhang
IEEE Access, Volume: 7, Pages: 148672 - 148683
Swansea University Author:
Giedre Sabaliauskaite
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DOI (Published version): 10.1109/access.2019.2946632
Abstract
Human error has been statistically proven to be the primary cause of road accidents. This undoubtedly is a contributory cause of the rising popularity of autonomous vehicles as they are presumably able to maneuver appropriately/optimally on the roads while diminishing the likelihood of human error a...
| Published in: | IEEE Access |
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| ISSN: | 2169-3536 |
| Published: |
Institute of Electrical and Electronics Engineers (IEEE)
2019
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| Online Access: |
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| URI: | https://cronfa.swan.ac.uk/Record/cronfa61840 |
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| Abstract: |
Human error has been statistically proven to be the primary cause of road accidents. This undoubtedly is a contributory cause of the rising popularity of autonomous vehicles as they are presumably able to maneuver appropriately/optimally on the roads while diminishing the likelihood of human error and its repercussion. However, autonomous vehicles are not ready for widespread adoption because their safety and security issues are yet to be thoroughly investigated/addressed. Little literature could be found on collaborative analysis of safety and security of autonomous vehicles. This paper proposes a framework for analyzing both safety and security issues, which includes an integrated safety and security method (S&S) with international vehicle safety and security standards ISO 26262 and SAE J3061. The applicability of the proposed framework is demonstrated using an example of typical autonomous vehicle model. Using this framework, one can clearly understand the vehicle functions, structure, the associated failures and attacks, and also see the vulnerabilities that are not yet addressed by countermeasures, which helps to improve the in-vehicle safety and security from researching and engineering perspectives. |
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| College: |
Faculty of Science and Engineering |
| Start Page: |
148672 |
| End Page: |
148683 |