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Complying with ISO 26262 and ISO/SAE 21434: A Safety and Security Co-Analysis Method for Intelligent Connected

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Sensors (Basel, Switzerland)
|March 28, 2024
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Summary

This study enhances intelligent connected vehicle (ICV) safety and security by merging system-theoretic process analysis (STPA) with automotive standards. The novel approach improves component interaction analysis, leading to more robust safety and security requirements for autonomous systems.

Keywords:
ISO 26262ISO/SAE 21434intelligent connected vehicleloss scenario treesystem-theoretic process analysis

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Area of Science:

  • Cyber-physical systems (CPS)
  • Automotive safety and security engineering

Background:

  • Intelligent connected vehicles (ICVs) are complex cyber-physical systems (CPS) vulnerable to failures and attacks.
  • Traditional safety/security analyses lack comprehensive assessment of ICV component interactions.

Purpose of the Study:

  • To develop an integrated approach for analyzing ICV safety and security.
  • To address limitations in existing methods for analyzing component interactions and causal scenarios.
  • To ensure consistency and reduce redundancy in safety and security requirements.

Main Methods:

  • Integration of System-Theoretic Process Analysis (STPA) with ISO 26262 and ISO/SAE 21434 concept phases.
  • Enhancement of STPA's physical component diagram with interface elements (STPA-SafeSec).
  • Proposal of a loss scenario tree for detailing unsafe/unsecure control actions.
  • Development of a unified risk assessment process.

Main Results:

  • Improved analysis of interactions between ICV components for safety and security.
  • Enhanced STPA-SafeSec with interface elements for clearer causal scenario description.
  • A structured method for hazard/threat analysis and risk assessment.
  • Validation of the proposed method through a case study on an autonomous emergency braking system.

Conclusions:

  • The integrated STPA-SafeSec approach provides a comprehensive framework for ICV safety and security analysis.
  • The method effectively addresses component interactions and streamlines requirement determination.
  • The unified risk assessment ensures consistency and efficiency in evaluating ICV safety and security.