Quantum-Resistant Secure Data Provenance in Internet of Vehicles

Internet of Vehicles (IoV) network facilitates an advanced vehicular communication landscape that integrates various infrastructures to enhance vehicle-to-everything (V2X) interactions. However, the advancement of quantum computing presents substantial risks to conventional cryptographic protocols essential for data security, integrity, and confidentiality. This paper introduces an advanced framework incorporating quantum-resistant cryptographic algorithms within the IoV's secure data provenance (SDP) protocols. We leverage robust post-quantum cryptographic (PQC) methods, specifically the Falcon-512 lattice-based signature scheme, alongside Verifiable Credentials (VCs) to ensure data integrity, source authentication, and privacy against potential quantum threats. The integration process, security, and performance of our framework are thoroughly analyzed. The analysis demonstrates its resilience against classical and quantum attacks, making it a viable solution to secure IoV communications in the quantum era.

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Publication Details

Published
2024-12-20
DOI
https://doi.org/10.1109/pic62406.2024.10892766
Citations
1
Primary Topic
Advanced Malware Detection Techniques
Type
article
Field-Weighted Citation Impact
0.35
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article

Quantum-Resistant Secure Data Provenance in Internet of Vehicles

Frank Jiang, Anuj Nepal, Robin Doss
1 citations
Advanced Malware Detection Techniques
0.35
article

Quantum-Resistant Secure Data Provenance in Internet of Vehicles

Frank Jiang, Anuj Nepal, Robin Doss
article en
1 citations

Abstract

Internet of Vehicles (IoV) network facilitates an advanced vehicular communication landscape that integrates various infrastructures to enhance vehicle-to-everything (V2X) interactions. However, the advancement of quantum computing presents substantial risks to conventional cryptographic protocols essential for data security, integrity, and confidentiality. This paper introduces an advanced framework incorporating quantum-resistant cryptographic algorithms within the IoV's secure data provenance (SDP) protocols. We leverage robust post-quantum cryptographic (PQC) methods, specifically the Falcon-512 lattice-based signature scheme, alongside Verifiable Credentials (VCs) to ensure data integrity, source authentication, and privacy against potential quantum threats. The integration process, security, and performance of our framework are thoroughly analyzed. The analysis demonstrates its resilience against classical and quantum attacks, making it a viable solution to secure IoV communications in the quantum era.

Deakin University (AU)
Openalex Percentile: Top 38%
Advanced Malware Detection Techniques
0.35
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Quantum-Resistant Secure Data Provenance in Internet of Vehicles — Frank Jiang, Anuj Nepal, et al. · (2024) | TGRS Research Map | TGRS