Meeting Automotive Liability Challenges through Forensics Soundness

* Vinnova D-nr: 2024-03687

MAGIC facilitates more efficient root cause analysis that can lead to faster product updates to address issues, increase trust in vehicle digital forensics evidence, and provide guidance to engineers who want to design vehicles to support future forensics analyses.

Objectives of the project

MAGIC aims to increase confidence in, and streamline handling of, forensic data from vehicles to support the investigations around liability issues in incidents. To this end we aim to:

• Develop automotive digital forensics (ADF) solutions that guarantee forensic soundness, enhance the trustworthiness of incident investigations, and identify cybersecurity-related vulnerabilities.
• Implement real-time ADF mechanisms to enhance the adaptability of incident detection and protection against cyberattack threats.
• Develop adaptive cyber-resilience and assure forensic soundness.
• Achieve compliance with, and potentially propose enhancement to, UNECE R155 & R156 and ISO/SAE 21434.
• Disseminate knowledge and educate future experts.
• Evaluate the feasibility of the proposed ADF solutions for real-world implementations.

Stakeholders

The project results are valuable to be used by several critical stakeholders such as:

• Vehicle manufacturers
• Regulatory bodies and standardization
• Insurance companies and law enforcement
• Cybersecurity experts