Hybrids in automatic vehicles have brought in aspects of security in intra-sensor communications never seen before. Most of these threats cut across the lengths of conventional cryptographic modes against the advance of quantum computing. The research paper introduces “Q-SafeAV”, which forms an altogether new quantum secure intra-sensor communication structure able to withstand threats specifically from autonomous vehicle (AV) networks. The approach incorporates quantum key distribution (QKD) protocols and post-quantum cryptographic algorithms in the formation of quantum secured channel for communication with informational theoretical security properties between vehicle sensors for ensuring information integrity and authenticity in real-time operational environments. The framework identifies important weaknesses today that exist in current automotive communication protocols while being able to meet stringent latency requirements that are extremely crucial for safety-critical applications. To test and validate the proposed methodology, extensive experimentation were conducted, and it was observed that “Q-SafeAV” shows processing latencies below 10 milliseconds provide it with enhanced security based on quantum mechanical principles, making it suitable for real-time applications in AVs. The experimental results provide quantum-safe protection against both current and future computational attacks. Overall, the research addresses a crucial portion of growing demands for quantum-resilient security frameworks in next-generation autonomous transportation systems.
Hybrids in automatic vehicles have brought in aspects of security in intra-sensor communications never seen before. Most of these threats cut across the lengths of conventional cryptographic modes against the advance of quantum computing. The research paper introduces “Q-SafeAV”, which forms an altogether new quantum secure intra-sensor communication structure able to withstand threats specifically from autonomous vehicle (AV) networks. The approach incorporates quantum key distribution (QKD) protocols and post-quantum cryptographic algorithms in the formation of quantum secured channel for communication with informational theoretical security properties between vehicle sensors for ensuring information integrity and authenticity in real-time operational environments. The framework identifies important weaknesses today that exist in current automotive communication protocols while being able to meet stringent latency requirements that are extremely crucial for safety-critical applications. To test and validate the proposed methodology, extensive experimentation were conducted, and it was observed that “Q-SafeAV” shows processing latencies below 10 milliseconds provide it with enhanced security based on quantum mechanical principles, making it suitable for real-time applications in AVs. The experimental results provide quantum-safe protection against both current and future computational attacks. Overall, the research addresses a crucial portion of growing demands for quantum-resilient security frameworks in next-generation autonomous transportation systems.
The rise of autonomous vehicles (AVs) has led to an increased reliance on vehicle-to-vehicle (V2V) communication networks to ensure real-time information sharing, situational awareness, and cooperative decision-making. However, the integration of quantum computing into cybersecurity threatens the cryptographic foundations upon which current V2V communication protocols rely. As quantum computers grow closer to practical implementation, traditional public-key encryption schemes—such as RSA and ECC—are rendered vulnerable to attacks from quantum algorithms like Shor’s and Grover’s. This review explores the necessity of adopting quantum-resistant cryptographic protocols to secure V2V communication frameworks. The study critically examines post-quantum cryptographic algorithms, including lattice-based, hash-based, code-based, multivariate polynomial, and isogeny-based schemes, with a focus on their applicability to latency-sensitive and resource-constrained vehicular environments. Furthermore, the paper evaluates the performance, scalability, and implementation challenges of integrating these cryptographic primitives into real-time autonomous systems. Case studies of pilot implementations and emerging research are reviewed to highlight the practicality of these protocols in vehicular edge computing and 5G-enabled automotive networks. The paper concludes by proposing a forward-looking roadmap for standardization and integration of quantum-resilient cryptography in intelligent transportation systems (ITS), ensuring long-term data integrity, authentication, and privacy across V2V infrastructures.
Vehicle-to-Everything (V2X) communication is a critical enabler of autonomous driving, supporting real-time information exchange among vehicles, roadside infrastructure, pedestrians, and cloud services. However, the security of current V2X systems largely relies on classical cryptographic mechanisms, which are expected to become vulnerable in the presence of large-scale quantum computers. Given the long operational lifespan and stringent safety requirements of autonomous vehicular networks, the transition toward quantum-resistant authentication and key management mechanisms has become increasingly important. This paper presents a comprehensive survey of post-quantum Authentication and Key Agreement (AKA) protocols for secure V2X communications. The survey systematically reviews V2X communication architectures, security and privacy requirements, existing authentication frameworks, and emerging post-quantum cryptographic approaches. Representative AKA schemes and NIST-standardized post-quantum algorithms are comparatively analyzed in terms of security strength, computational complexity, communication overhead, storage requirements, scalability, and deployment suitability for resource-constrained vehicular environments. The survey further examines practical implementation challenges, including latency constraints, bandwidth limitations, signature size expansion, memory consumption, and hardware resource requirements. The analysis reveals that achieving quantum-resistant security in V2X networks requires balancing strong cryptographic protection with the stringent performance demands of safety-critical vehicular applications. While recent post-quantum approaches offer promising security guarantees against quantum adversaries, their practical deployment remains constrained by computational and communication overhead. Finally, this survey identifies key research gaps and outlines future directions for the development of lightweight, scalable, and quantum-resilient AKA frameworks capable of supporting next-generation autonomous transportation systems. The findings provide researchers and practitioners with a structured understanding of the opportunities, limitations, and challenges associated with securing future V2X communications in the quantum era.
As autonomous vehicle networks become integral to modern transportation and critical infrastructure, ensuring the security of their communication systems is paramount. This paper presents a groundbreaking exploration of Quantum Cryptography as a robust framework for achieving unprecedented levels of security in autonomous vehicle networks. Our research delves into the vulnerabilities of classical cryptographic methods in the face of emerging quantum computing threats, emphasizing the need for a paradigm shift in securing autonomous vehicle communications. Leveraging the principles of Quantum Key Distribution (QKD), we propose a novel quantum cryptographic architecture tailored to the unique dynamics and requirements of autonomous vehicle networks. The study includes the design, simulation, and analysis of a quantum cryptographic protocol employing QKD for secure key exchange. Through extensive simulations using state-of-the-art quantum computing simulators, we demonstrate the resilience of our proposed system against potential quantum attacks, ensuring a level of security that goes beyond the capabilities of classical cryptographic approaches. Furthermore, we address the practical aspects of implementing Quantum Cryptography in autonomous vehicle networks, including considerations for real-world deployment, scalability, and integration with existing communication protocols. Our findings not only establish the viability of Quantum Cryptography in this context but also pave the way for a new era of secure and resilient autonomous systems. In conclusion, this paper not only contributes to the theoretical understanding of Quantum Cryptography in the realm of autonomous vehicles but also provides actionable insights for the development of secure communication infrastructures critical to the widespread adoption of autonomous technologies.
The rapid proliferation of autonomous electric vehicles (AEVs) has created unprecedented cybersecurity challenges for vehicle-to-vehicle (V2V) communication systems that are vulnerable to quantum computing attacks and sophisticated adversarial strategies. This research presents a novel hybrid quantum key distribution (QKD) framework specifically designed for high-mobility vehicular environments, integrating satellite-based and terrestrial quantum communication infrastructure with mobile-optimized protocols. We propose the Mobile Quantum Key Distribution (M-QKD) protocol that achieves information-theoretic security while meeting stringent real-time performance requirements of safety-critical automotive applications. Our hybrid architecture combines predictive key pre-distribution algorithms, adaptive error correction mechanisms, and distributed key verification protocols to ensure continuous secure communication even at highway speeds exceeding120km/h. Comprehensive simulation results demonstrate 99.9% security assurance with sub-50 ms communication latencies and 98.5% quantum key distribution success rates under challenging vehicular mobility conditions. The proposed framework represents the first practical quantum-secured V2V communication system capable of providing unconditional security guarantees while maintaining compatibility with existing V2X standards and infrastructure.
The rapid integration of Internet of Things (IoT) technologies in Autonomous Vehicles (AVs) has significantly expanded the attack surface of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication systems.These networks exchange large volume of safety-critical data in realtime, which increases their exposure to attacks like message tampering, identity spoofing, and coordinated injection.Traditional cryptographic systems become more suspectable to emerging quantum computing threats, whereas the existing intrusion detection systems suffer from high latency, static encryption, and increased energy consumption due to frequent vehicular movement.These challenges restrict the ability of current systems to guarantee secure, real-time, energy-efficient, and sustainable communication for next-generation AVs.To address these challenges, this study introduced a novel Quantum-Enhanced Lightweight Protocol (QELP) that combines hybrid quantum-classical security mechanisms with adaptive encryption orchestration to improve security, real-time performance, and sustainable operation in IoT-enabled autonomous vehicle sensor networks.QELP combines BB84based Quantum Key Distribution (QKD) and lattice-based post-quantum cryptography (Kyber+) to establish quantum-resilient session keys.The context-aware encryption method dynamically adjusts the encryption intensity and key refresh rate based on residual energy, traffic density, anomaly score, and vehicular mobility to balance security strength and computational overhead.The model includes multi-layer error and attack detection techniques, including quantum-based intrusion alerts, digital signature validation, and behavioural deviation checks.The VeReMi and CARLA-NS3 datasets are employed for message-based V2X attack validation and to assess the networklevel behavior under real-time traffic scenarios.The performance is evaluated by simulations using Python (Qiskit) for quantum layers and NS3 for AV networks.The simulation results outperform with 98.76% attack detection rate, 0.015 false alarm rate, 13.7ms latency, 12.2% energy depletion score, 94.6% security risk score reduction towards a stronger quantumresilient defense and an encryption throughput improvement to 96.8%, handling encrypted data at high speed.The findings confirm that QELP provides a scalable, quantum-resilient, and energy-aware security architecture for next-generation autonomous vehicular communication systems.
Self-driving cars and intelligent transport networks face unprecedented security challenges from quantum computing capabilities. Quantum algorithms can efficiently solve mathematical problems underlying current cryptographic architectures that protect vehicular communications, authentication, and software integrity. This article analyzes quantum-specific threat vectors including harvest-now-decrypt-later attacks, authentication forgery enabling safety-critical message spoofing, and long-term integrity attacks on over-the-air updates. Technical solutions include post-quantum cryptographic algorithms, hybrid security models, and crypto-agile architectures. The lifecycle threat model addresses temporal aspects of data sensitivity for vehicles with long operational lifetimes. Policy implications encompass national security, economic competitiveness, regulatory frameworks, and international standards coordination. Quantum-resilient transportation security requires urgent, coordinated efforts from industry, government, and standards organizations.