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Cybersecurity Testing for Automotive Domain: A Survey.

Feng Luo¹, Xuan Zhang¹, Zhenyu Yang¹

¹School of Automotive Studies, Tongji University, Shanghai 201804, China.

Sensors (Basel, Switzerland)

|December 11, 2022

Summary

Automotive cybersecurity testing is crucial for modern connected vehicles to address evolving cyber threats. This review systematically examines current testing methods and testbeds, identifying research gaps for future advancements in vehicle security.

Keywords:

automotive cybersecurity testing fuzzing model-based testing penetration testing

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Area of Science:

Cybersecurity Engineering
Automotive Systems
Electrical and Electronic Systems

Background:

Modern vehicles present expanded attack surfaces due to increased complexity and connectivity.
Cyber threats to vehicles can compromise personal data, property, and critically, functional safety through control of driving systems.

Purpose of the Study:

To conduct a systematic and comprehensive review of automotive cybersecurity testing research and practices.
To provide a reference for automotive security researchers and testers.
To identify current gaps and limitations in the field.

Main Methods:

Classification and discussion of security testing methods relevant to automotive engineering.
Analysis of existing automotive cybersecurity testbeds.
Review of current cybersecurity standards and regulations (e.g., ISO/SAE 21434, UNECE WP.29 R155/R156).

Main Results:

Categorization of various automotive cybersecurity testing approaches.
Overview of available testbed infrastructures for vehicle security evaluation.
Highlighting the need for more detailed technical guidance beyond existing high-level standards.

Conclusions:

The review provides a structured understanding of the automotive cybersecurity testing landscape.
Identified research gaps and future challenges require further investigation.
This work serves as a foundational resource for advancing vehicle cybersecurity testing methodologies.