Towards Secure, Decentralised, and Privacy Friendly Forensic Analysis of Vehicular Data

Area of Science:

• Computer Science
• Transportation Engineering
• Cybersecurity

Background:

• Modern vehicles possess advanced computing capabilities for safety and assistance.
• Current accident investigations often rely on subjective witness statements, neglecting available vehicle data.
• Assigning liability in vehicle incidents remains a challenge despite technological advancements.

Purpose of the Study:

• To propose a secure, decentralized, blockchain-based platform for storing vehicle data.
• To enable secure and privacy-preserving access to vehicle position and velocity data.
• To introduce an automated system for resolving disputes in vehicle incidents.

Main Methods:

• Development of a blockchain platform for encrypted storage of vehicle position and velocity data.
• Implementation of a data decryption mechanism requiring driver consent or multi-authority consensus.
• Simulation using a mobility traffic dataset from Cologne to evaluate the platform's feasibility.

Main Results:

• The proposed blockchain platform can securely store and manage encrypted vehicle data.
• The system allows for controlled data access for incident investigation and dispute resolution.
• Simulations indicate the platform's applicability in real-world smart city scenarios.

Conclusions:

• Blockchain technology offers a robust solution for secure vehicle data management in smart cities.
• The proposed platform enhances transparency and efficiency in accident investigations and liability assignment.
• Automated dispute resolution via blockchain can streamline processes and reduce reliance on subjective evidence.