Autonomous Vehicle: Security by Design
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Abstract (arXiv)
Security of (semi)-autonomous vehicles is a growing concern, first, due to the increased exposure of the functionality to the potential attackers; second, due to the reliance of car functionalities on diverse (semi)-autonomous systems; third, due to the interaction of a single vehicle with myriads of other smart systems in an urban traffic infrastructure. Beyond these technical issues, we argue that the security-by-design principle for smart and complex autonomous systems, such as an Autonomous Vehicle (AV) is poorly understood and rarely practiced. Unlike traditional IT systems, where the risk mitigation techniques and adversarial models are well studied and developed with security design principles such as security perimeter and defence-in-depth, the lack of such a framework for connected autonomous systems is plaguing the design and implementation of a secure AV. We attempt to identify the core issues of securing an AV. This is done methodically by developing a security-by-design framework for AV from the first principle. Subsequently, the technical challenges for AV security are identified.
Key facts. Cited by 5 papers in the map (data through 13 Oct 2026). First posted on arXiv 1 Oct 2018.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 4.
5 papers.
- 2025Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defensescited by 1
- 2025Navigating the Edge with the State-of-the-Art Insights into Corner Case Identification and Generation for Enhanced Autonomous Vehicle Safetycited by 1
- 2025SLACK: Attacking LiDAR-based SLAM with Adversarial Point Injectionscited by 1
- 2022Evaluating Automated Driving Planner Robustness against Adversarial Influencecited by 0
- 2025CORTEX-AVD: A Framework for CORner Case Testing and EXploration in Autonomous Vehicle Developmentcited by 0
- 2025CORTEX-AVD: A Framework for CORner Case Testing and EXploration in Autonomous Vehicle Development4 Apr 2025
- 2025SLACK: Attacking LiDAR-based SLAM with Adversarial Point Injections3 Apr 2025
- 2025Navigating the Edge with the State-of-the-Art Insights into Corner Case Identification and Generation for Enhanced Autonomous Vehicle Safety27 Feb 2025
- 2025Safeguarding connected autonomous vehicle communication: Protocols, intra- and inter-vehicular attacks and defenses6 Feb 2025
- 2022Evaluating Automated Driving Planner Robustness against Adversarial Influence29 May 2022