mlsanityData to 14 Oct 2026

LLM-Empowered Functional Safety and Security by Design in Automotive Systems

arXiv 2601.02215 ↗First posted 5 Jan 2026cs.SE cs.AIcited by 1

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Abstract (arXiv)

This paper presents LLM-empowered workflow to support Software Defined Vehicle (SDV) software development, covering the aspects of security-aware system topology design, as well as event-driven decision-making code analysis. For code analysis we adopt event chains model which provides formal foundations to systematic validation of functional safety, taking into account the semantic validity of messages exchanged between key components, including both CAN and Vehicle Signal Specification (VSS). Analysis of security aspects for topology relies on synergy with Model-Driven Engineering (MDE) approach and Object Constraint Language (OCL) rules. Both locally deployable and proprietary solution are taken into account for evaluation within Advanced Driver-Assistance Systems (ADAS)-related scenarios.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 11 of its 24 references that are in the map. First posted on arXiv 5 Jan 2026.

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11 of 24 references.

References · 11

  1. 2024Adopting RAG for LLM-Aided Future Vehicle Designcited by 6
  2. 2025LLM-enabled Instance Model Generationcited by 5
  3. 2025Survey of GenAI for Automotive Software Development: From Requirements to Executable Codecited by 5
  4. 2025GenAI for Automotive Software Development: From Requirements to Wheelscited by 5
  5. 2025LLM-based Iterative Approach to Metamodeling in Automotivecited by 4
  6. 2025Hallucination in LLM-Based Code Generation: An Automotive Case Studycited by 2
  7. 2025GenAI-based test case generation and execution in SDV platformcited by 2
  8. 2025STAF: Leveraging LLMs for Automated Attack Tree-Based Security Test Generationcited by 2
  9. 2025LLM-Empowered Event-Chain Driven Code Generation for ADAS in SDV systemscited by 2
  10. 2025Large Language Models in Code Co-generation for Safe Autonomous Vehiclescited by 1
  11. 2025Event-Chain Analysis for Automated Driving and ADAS Systems: Ensuring Safety and Meeting Regulatory Timing Requirementscited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2026: 1.

1 paper.

  1. 2026CyberLLM: A Multi-Agent LLM Framework for Autonomous Detection and Guarded Response in Automotive Cybersecuritycited by 0