PSVDF: Blockchain-Based Data Protection Framework for Vehicle Forensics

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PSVDF: A Data Protection Framework for Vehicle Digital Forensics Utilizing Blockchain View and Cross-Platform Secure Space

Organized by: International Forensic Scientist Awards
Website: forensicscientist.org

15th Edition of Forensic Scientist Awards 27-28 October 2025 | Paris, France

Introduction

With the rapid evolution of the Internet of Vehicles (IoV), vehicle digital forensics (VDF) has emerged as a vital area in modern intelligent transportation systems. As the number of traffic accidents and connected vehicles increases, ensuring the authenticity, integrity, and reliability of digital forensic evidence becomes a crucial challenge. Traditional forensic systems often face the risk of data tampering, privacy breaches, and loss of evidential trustworthiness due to unauthorized access or system vulnerabilities.

The Challenge

In existing systems, blockchain and encryption technologies have been explored to secure forensic data. However, two key challenges persist:

  1. Limited blockchain storage capacity — storing all forensic data on-chain can lead to overload or partial data loss.

  2. Kernel-level vulnerabilities — multi-party blockchain forensic systems remain exposed to potential attacks on their underlying operating systems, risking leakage or tampering of sensitive evidence.

The PSVDF Solution
To address these limitations, we introduce PSVDF (Protected Secure Vehicle Digital Forensics) — a comprehensive blockchain-based framework designed to enhance data protection, integrity, and privacy in vehicle forensics.

Key Innovations of PSVDF:

  • Cross-Platform Secure Space:
    PSVDF incorporates a same-layer address space isolation mechanism that safeguards container memory data from tampering by untrusted host systems. This ensures forensic data integrity during evidence collection and analysis.

  • View-Based Encryption and Access Control:
    A novel access control strategy enables collaborative storage between on-chain and off-chain environments, balancing performance with security. It minimizes blockchain overload while preventing unauthorized access or privacy breaches.

  • Blockchain as the Core Infrastructure:
    The blockchain layer serves as the immutable foundation for evidence verification and traceability, ensuring tamper-proof and auditable forensic records.

Results and Impact


Security analysis and experimental evaluations confirm that PSVDF effectively protects vehicle forensic data against tampering and privacy violations. The framework offers a scalable, secure, and reliable approach for next-generation vehicular forensics, paving the way for trustworthy IoV ecosystems and safer digital evidence management.

Conclusion


PSVDF represents a significant advancement in the field of vehicle digital forensics and cybersecurity, combining blockchain transparency with secure computing environments. Its hybrid on-chain/off-chain model and cross-platform isolation provide an ideal foundation for future intelligent vehicle investigations and forensic evidence protection in the IoV era.

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