Quantum Key Distribution for V2I communications with software‐defined networking
Alexandros Stavdas, Evangelos A. Kosmatos, Carsten R. Maple, E. Hugues-Salas, Gregory Epiphaniou, Daniel S. Fowler, Shadi A. Razak, Chris Matrakidis, Hu Yuan, Andrew Lord
Abstract The evolution of Connected and Autonomous Vehicles (CAVs) promises improvements in our travel experience and the potential to enhance road safety and reduce environmental impact. This will be utilising highly diverse traffic environments that enable several advanced mobility applications. A secure, efficient, reliable, and resilient communications infrastructure is required to support developments in these CAV systems. Next generation of telecommunication networks will seamlessly integrate terrestrial, satellite, and airborne networks into a single wireless system satisfying the requirements of trustworthy future transport systems. Given the increasing importance of CAVs, coupled with their attractiveness as a cyber‐attack for threat agents (e.g., disruption of transportation systems by nation states), security is paramount. Future communications systems offer an opportunity to integrate Quantum Key Distribution (QKD) into vehicular environments, protecting against advances in quantum computation that render many of the classical algorithms that underpin Public Key Infrastructure obsolete. This paper proposes a method for the integration of QKD in V2I networks to enable secure data communication. Quantum Key Distribution is used in the end‐to‐end path of vehicle‐to‐infrastructure (V2I) networks. Furthermore, an overarching Software‐Defined Network, with integrated QKD, is introduced. We have investigated the security performance of QKD in a V2I network over an urban environment.
Abstract The evolution of Connected and Autonomous Vehicles (CAVs) promises improvements in our travel experience and the potential to enhance road safety and reduce environmental impact. This will be utilising highly diverse traffic environments that enable several advanced mobility applications. A secure, efficient, reliable, and resilient communications infrastructure is required to support developments in these CAV systems. Next generation of telecommunication networks will seamlessly integrate terrestrial, satellite, and airborne networks into a single wireless system satisfying the requirements of trustworthy future transport systems. Given the increasing importance of CAVs, coupled with their attractiveness as a cyber‐attack for threat agents (e.g., disruption of transportation systems by nation states), security is paramount. Future communications systems offer an opportunity to integrate Quantum Key Distribution (QKD) into vehicular environments, protecting against advances in quantum computation that render many of the classical algorithms that underpin Public Key Infrastructure obsolete. This paper proposes a method for the integration of QKD in V2I networks to enable secure data communication. Quantum Key Distribution is used in the end‐to‐end path of vehicle‐to‐infrastructure (V2I) networks. Furthermore, an overarching Software‐Defined Network, with integrated QKD, is introduced. We have investigated the security performance of QKD in a V2I network over an urban environment.
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.
Advanced connection and autonomous features are being made possible by the Internet of Vehicles (IoV), which is causing a revolution in transportation. Strong security measures are required, however, because the prevalence of connected devices also increases the likelihood of cyberattacks and data breaches. This study introduces a new method for protecting IoV networks, which combines Blockchain technology with Quantum Key Distribution (QKD), creating a security architecture with two layers. Internet of Vehicles (IoV) technologies enable autonomous driving and real-time data exchange by connecting vehicles to infrastructure and one another. These advancements make things safer and more efficient, but they also put sensitive information at risk of cyberattacks. Modern security measures are essential since traditional encryption methods are becoming more and more insecure. To provide encryption that is theoretically unbreakable, the suggested system uses QKD to create and distribute cryptographic keys based on principles of quantum mechanics. To improve trust and transparency, blockchain technology is used to record these keys and any subsequent transactions in an immutable, distributed ledger. A hybrid architecture, with QKD securing the key exchange and Blockchain ensuring the integrity and authenticity of the communication, is designed as part of the integration process. Improved security and speed have been shown in simulations and prototype implementations of the QKD-Blockchain architecture in IoV networks. By preventing eavesdropping and key interception, the QKD technique kept the communication channel secure. With an average delay of only about 2 milliseconds, QKD performed admirably and was well below the permitted range for real-time vehicular communications. On average, validation durations for transactions were 5 milliseconds, which was a little overhead due to blockchain integration. The system efficiently handled up to 10,000 transactions per second without affecting security or performance, proving that it can serve massive IoV networks, according to scalability testing. Under high-load scenarios, the framework maintained consistent performance and security, proving its robustness in stress tests. Together, QKD and Blockchain provide a scalable and trustworthy option for future vehicular communication networks, and these results show how feasible and robust it is to use them to protect IoV systems. An intriguing approach to the security issues plaguing IoV systems is the integration of QKD with Blockchain technology. An unparalleled level of protection against cyber threats is provided by the dual-layered system, which guarantees strong encryption and data integrity. This fresh method may lead to improved and more trustworthy IoV networks by establishing new benchmarks for secure vehicular communication. In order to optimize the implementation and tackle any new issues that may arise, more research and development should be conducted.
Abstract The increasing demand for secure communications in mobile and critical infrastructure networks has led to the emergence of Quantum Key Distribution (QKD) as a promising technique for enhancing cryptographic security in next-generation systems. This paper reviews recent progress in integrating QKD within mobile and wireless networks. It focuses on key enabling technologies, such as Software-Defined Networking (SDN), satellite-based, and aerial networks. The paper critically analyzes how these frameworks can address evolving security requirements in sixth-generation (6G) networks and smart city infrastructures. Additionally, it examines the role of Machine Learning (ML) in improving QKD performance and adaptability. Challenges such as key management, mobility support, scalability, and interoperability are explored. These challenges help identify current barriers and research directions. By consolidating developments and highlighting unresolved issues, this study offers researchers valuable insights. It discusses the convergence of quantum communication and advanced mobile architectures, facilitating the design of secure and resilient future communication infrastructures.
The growing dependence on digital communications underscores the need to protect data as it travels through the network. Internet Protocol Security (IPsec) plays a central role, providing a robust framework to ensure the confidentiality, integrity, and authenticity of transmitted data. However, advances in Quantum Computing pose a significant threat to current public-key cryptographic schemes by enabling efficient solutions to factoring and discrete logarithm problems. A promising solution also arises from the quantum domain. Quantum Key Distribution (QKD) provides a security layer immune to any computational attacks, whether quantum or classical. While the rapid adoption of quantum-safe technologies is highly desirable, it is equally important to ensure the resilience of existing trusted infrastructures, as the introduction of novel technologies may also entail unforeseen challenges. Enabling an evolutionary path that brings our current security infrastructure to a quantum-safe one, protected against both present and future threats, is thus very important. This work proposes a solution that integrates emerging quantum technologies into the existing security and communications infrastructure to ensure long-term protection. We focus on IPsec —one of the most widely deployed security protocols— and combine it with Software-Defined Networking (SDN) and QKD to construct a novel network security infrastructure that is resilient against both classical and quantum computational threats. Building upon recent standardization initiatives and operational tools for QKD integration, we demonstrate advanced capabilities -including rekeying and secure key transport- on a field deployed QKD network operating within a shared quantum-classical production infrastructure.
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.
As autonomous vehicle networks evolve, securing them against advanced cyber threats is becoming increasingly crucial. Traditional cryptographic methods are inadequate for these demands. This paper examines quantum cryptography, focusing on Quantum Key Distribution (QKD), to enhance security in these networks. A network architecture incorporating quantum cryptographic protocols, and an outline of the necessary hardware and software are proposed. Simulations demonstrate the advantages of quantum cryptography in ensuring data integrity, confidentiality, and authenticity. However, challenges such as scalability and integration persist. These challenges are discussed, along with suggestions for future research, concluding that quantum cryptography has the potential to significantly improve the security of autonomous vehicle networks.