Quantum-Secure Predictive Maintenance Framework for Future VANET-Based Smart Transportation Systems
K. Sudharson, Rajalakshmi D, S. Sridevi · International Journal of Electrical and Electronics Engineering · 2025
The increasing use of Vehicular Ad-hoc Networks (VANETs) in smart transportation points to the need for solutions that are quantum-computing resistant. The usual reactive security systems in the cloud cannot handle real-time vehicle applications and fail even more when attacked by quantum technology. In this paper, the suggested framework, Quantum-Secure Predictive Maintenance (QSPM), combines quantum-safe communication with QKD, early fault detection using LSTM networks at the edge and verifiable maintenance results validated with blockchain technology. A secure connection is guaranteed with BB84, and AI at the edge helps predict when maintenance is required by analyzing instant sensor information in the QSPM framework. Maintenance schedule reminders are done automatically by smart contracts, and the system uses post-quantum cryptography for lasting security. Tests done in NS-3 and MATLAB demonstrated that QSPM finds 94.6% of faults, cuts packet loss by 42%, extends network lifetime by 38% and raises resistance to cyberattacks by 55%. Results indicate that QSPM provides better security, reduces how long a vehicle stands idle and makes it possible to use quantum-resistant maintenance for future connected vehicles.