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Simulation-based Fault Injection in Advanced Driver Assistance Systems Modelled in SUMO
RISE Research Institutes of Sweden, Safety and Transport, Electrification and Reliability. (Dependable Transport Systems)ORCID iD: 0000-0002-6217-0828
(Dependable Transport Systems)ORCID iD: 0000-0001-9536-4269
2021 (English)In: 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks(DSN) - Best of SELSE, IEEE conference proceedings, 2021Conference paper, Published paper (Refereed)
Abstract [en]

Embedded electronic systems used in vehicles are becoming more exposed and thus vulnerable to different types of faults and cybersecurity attacks. Examples of these systems are advanced driver assistance systems (ADAS) used in vehicles with different levels of automation. Failures in these systems could have severe consequences, such as loss of lives and environmental damages. Therefore, these systems should be thoroughly evaluated during different stages of product development. An effective way of evaluating these systems is through the injection of faults and monitoring their impacts on these systems. In this paper, we present SUFI, a simulation-based fault injector that is capable of injecting faults into ADAS features simulated in SUMO (simulation of urban mobility). Simulation-based fault injection is usually used at early stages of product development, especially when the target hardware is not yet available. Using SUFI we target car-following and lane-changing features of ADAS modelled in SUMO. The results of the fault injection experiments show the effectiveness of SUFI in revealing the weaknesses of these models when targeted by faults and attacks.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2021.
Keywords [en]
Fault injection, attack injection, advanced driver assistance systems, SUMO
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:ri:diva-55458OAI: oai:DiVA.org:ri-55458DiVA, id: diva2:1579858
Conference
51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks(DSN) - Best of SELSE
Projects
VALU3S (Verification and Validation of Automated Systems’ Safety and Security)
Funder
EU, Horizon 2020, 876852Available from: 2021-07-12 Created: 2021-07-12 Last updated: 2023-04-28Bibliographically approved

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Maleki, MehdiSangchoolie, Behrooz

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CiteExportLink to record
Permanent link

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Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf