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SarA: Security automotive risk analysis method

  • Jean Philippe Monteuuis
  • , Aymen Boudguiga
  • , Jun Zhang
  • , Houda Labiod
  • , Alain Servel
  • , Pascal Urien

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Connected and automated vehicles aim to improve the comfort and the safety of the driver and passengers. To this end, car manufacturers continually improve actual standardized methods to ensure their customers safety, privacy, and vehicles security. However, these methods do not support fully autonomous vehicles, linkability and confusion threats. To address such gaps, we propose a systematic threat analysis and risk assessment framework, SARA, which comprises an improved threat model, a new attack method/asset map, the involvement of the attacker in the attack tree, and a new driving system observation metric. Finally, we demonstrate its feasibility in assessing risk with two use cases: Vehicle Tracking and Comfortable Emergency Brake Failure.

Original languageEnglish
Title of host publicationCPSS 2018 - Proceedings of the 4th ACM Workshop on Cyber-Physical System Security, Co-located with ASIA CCS 2018
PublisherAssociation for Computing Machinery, Inc
Pages3-14
Number of pages12
ISBN (Electronic)9781450357555
DOIs
Publication statusPublished - 22 May 2018
Event4th ACM Cyber-Physical System Security Workshop, CPSS 2018, co-located with ACM AsiaCCS 2018 - Incheon, Korea, Republic of
Duration: 4 Jun 2018 → …

Publication series

NameCPSS 2018 - Proceedings of the 4th ACM Workshop on Cyber-Physical System Security, Co-located with ASIA CCS 2018

Conference

Conference4th ACM Cyber-Physical System Security Workshop, CPSS 2018, co-located with ACM AsiaCCS 2018
Country/TerritoryKorea, Republic of
CityIncheon
Period4/06/18 → …

Keywords

  • Automotive security
  • Risk assessment
  • Security requirements
  • Threat analysis

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