A Quantum-Enhanced Key Agreement and Signature Protocol for Securing Transportation Cyber-Physical Systems

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Authors: Sahaya Beni Prathiba, Saikiran Sankaranarayanan, Rampriya Rajendran Shanthi, Dhanalakshmi Ranganayakulu, Arikumar K. Selvaraj, Joel J. P. C. Rodrigues
Cited by: 1
References: 29

Abstract

Transportation Cyber-Physical Systems (T-CPS) integrate transportation information with physical elements, enabling advanced features such as real-time vehicle tracking, collision avoidance, and intelligent traffic management. However, this also increases the need for improved security protocols to safeguard the critical identity-based data they transmit through vulnerable wireless networks, such as Vehicle Identification Numbers (VINs) and live Global Positioning System (GPS) coordinates. These T-CPS, traditionally protected by classical encryption algorithms, are now vulnerable due to the rise in quantum computing. Existing solutions are hindered by their complex security features and high computational overhead. To address these challenges, we propose Quantum Key Agreement and Signature Verification (QKASV), a post-quantum protocol that integrates Quantum Key Distribution (QKD) and Quantum Signatures for T-CPS. QKASV uses identity-tied QKD-based keys for session creation, followed by either individual or group quantum signatures. Signatures are created by applying basic quantum gates sequentially rather than lattice-based or certificate-based schemes. Hence, this speeds up the overall key generation, distribution, and management process without compromising the enhanced security. Formal security analysis using standard security models and the Scyther cryptographic protocol verification tool proves that QKASV meets standard security requirements. Further, comparison with similar schemes shows that QKASV operates on the least communication rounds required per signature, and reduces the computational overhead by at least 12%. Therefore, QKASV offers a better security solution compared to existing schemes.

Fields of Study & Subjects

Advanced Statistical Modeling Techniques Cryptography and Data Security RFID technology advancements

Publication details

Journal / source
IEEE Transactions on Intelligent Transportation Systems
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
27
Issue
6
Pages
6464–6473
Publication date
6 April 2026