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oai:drops-oai.dagstuhl.de:10338 2024-03-06T10:30:31Z ddc:004 open_access

Safety and Security Analysis of AEB for L4 Autonomous Vehicle Using STPA Sharma, Shefali Flores, Adan Hobbs, Chris Stafford, Jeff Fischmeister, Sebastian Functional Safety Security STAMP STPA STPA-Sec ISO 26262 AEB Advanced Driver Assistance Systems (ADAS) Automated Vehicles SoC (System-On-Chip) Autonomous vehicles (AVs) are coming to our streets. Due to the presence of highly complex software systems in AVs, there is a need for a new hazard analysis technique to meet stringent safety standards. System Theoretic Process Analysis (STPA), based on Systems Theoretic Accident Modeling and Processes (STAMP), is a powerful tool that can identify, define, analyze and mitigate hazards from the earliest conceptual stage deployment to the operation of a system. Applying STPA to autonomous vehicles demonstrates STPA's applicability to preliminary hazard analysis, alternative available, developmental tests, organizational design, and functional design of each unique safety operation. This paper describes the STPA process used to generate system design requirements for an Autonomous Emergency Braking (AEB) system using a top-down analysis approach to system safety. The paper makes the following contributions to practicing STPA for safety and security: 1) It describes the incorporation of safety and security analysis in one process and discusses the benefits of this; 2) It provides an improved, structural approach for scenario analysis, concentrating on safety and security; 3) It demonstrates the utility of STPA for gap analysis of existing designs in the automotive domain; 4) It provides lessons learned throughout the process of applying STPA and STPA-Sec . Schloss Dagstuhl – Leibniz-Zentrum für Informatik Shefali Sharma and Adan Flores and Chris Hobbs and Jeff Stafford and Sebastian Fischmeister 2019 Is Part Of OASIcs, Volume 68, Workshop on Autonomous Systems Design (ASD 2019) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.ASD.2019.5 urn:nbn:de:0030-drops-103388 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.ASD.2019.5 eng https://creativecommons.org/licenses/by/3.0/legalcode