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.
Keywords
Internet of Vehicles, Quantum Key Distribution, Blockchain Technology, Cybersecurity, Vehicular Communication, Data Integrity.
Prateek, K., Ojha, N. K., Altaf, F., & Maity, S. (2023). Quantum secured 6G technology-based applications in Internet of Everything. Telecommunication Systems, 82(2), 315-344.
Rozenman, G. G., Kundu, N. K., Liu, R., Zhang, L., Maslennikov, A., Reches, Y., & Youm, H. Y. (2023). The quantum internet: A synergy of quantum information technologies and 6G networks. IET Quantum Communication, 4(4), 147-166.
Shamshad, S., Riaz, F., Riaz, R., Rizvi, S. S., & Abdulla, S. (2022). An enhanced architecture to resolve public-key cryptographic issues in the internet of things (IoT), Employing quantum computing supremacy. Sensors, 22(21), 8151.
Chulerttiyawong, D. (2023). Improving Security for the Internet of Things: Applications of Blockchain, Machine Learning and Inter-Pulse Interval (Doctoral dissertation).
Maheshwari, D., Florin, P. V., Dhirani, L. L., Waqas, A., Chowdhry, B. S., Ali, M. M., & Albeanu, G. (2024). Role of Quantum Security in the Future of Smart Manufacturing. In Integration of Heterogeneous Manufacturing Machinery in Cells and Systems (pp. 216-236). CRC Press.
Zhang, L. (2023). Securing the Digital Frontier: Blockchain and Quantum Cryptography for Trust and Data Security in Educational Platforms.
Dhinakaran, D., Selvaraj, D., Dharini, N., Raja, S. E., & Priya, C. S. L. (2024). Towards a Novel Privacy-Preserving Distributed Multiparty Data Outsourcing Scheme for Cloud Computing with Quantum Key Distribution. International Journal of Intelligent Systems and Applications in Engineering, 12(2), 286-300.
Wang, C., & Rahman, A. (2022). Quantum-enabled 6G wireless networks: Opportunities and challenges. IEEE Wireless Communications, 29(1), 58-69.
Sharma, A. K., Peelam, M. S., Chauasia, B. K., & Chamola, V. (2023). QIoTChain: Quantum IoT‐blockchain fusion for advanced data protection in Industry 4.0. IET Blockchain.
Hussien, O. A., Arachchige, I. S., & Jahankhani, H. (2023, October). Strengthening Security Mechanisms of Satellites and UAVs Against Possible Attacks from Quantum Computers. In International Conference on Global Security, Safety, and Sustainability (pp. 1-20). Cham: Springer Nature Switzerland.
Syed, F., Gupta, S. K., Hamood Alsamhi, S., Rashid, M., & Liu, X. (2021). A survey on recent optimal techniques for securing unmanned aerial vehicles applications. Transactions on Emerging Telecommunications Technologies, 32(7), e4133.
Sodiya, E. O., Umoga, U. J., Amoo, O. O., & Atadoga, A. (2024). Quantum computing and its potential impact on US cybersecurity: A review: Scrutinizing the challenges and opportunities presented by quantum technologies in safeguarding digital assets. Global Journal of Engineering and Technology Advances, 18(02), 049-064.
Biswas, S., Goswami, R. S., & Reddy, K. H. K. (2024). Advancing quantum steganography: a secure IoT communication with reversible decoding and customized encryption technique for smart cities. Cluster Computing, 1-20.
Vaghani, A., Sood, K., & Yu, S. (2022). Security and QoS issues in blockchain enabled next-generation smart logistic networks: A tutorial. Blockchain: Research and Applications, 3(3), 100082.
Yang, Z., Alfauri, H., Farkiani, B., Jain, R., Di Pietro, R., & Erbad, A. (2023). A survey and comparison of post-quantum and quantum blockchains. IEEE Communications Surveys & Tutorials.
Asaju, B. J. (2024). Enhancing V2X Communication Security Advanced Encryption and Authentication Protocols. Human-Computer Interaction Perspectives, 4(1), 28-56.
Kim, M., Oh, I., Yim, K., Sahlabadi, M., & Shukur, Z. (2023). Security of 6G enabled Vehicle-to-Everything Communication in Emerging Federated Learning and Blockchain Technologies. IEEE Access.
Adhikari, M., & Hazra, A. (2022). 6G-enabled ultra-reliable low-latency communication in edge networks. IEEE Communications Standards Magazine, 6(1), 67-74.
Ahmed, S., & Khan, M. (2023). Securing the Internet of Things (IoT): A comprehensive study on the intersection of cybersecurity, privacy, and connectivity in the IoT ecosystem. AI, IoT and the Fourth Industrial Revolution Review, 13(9), 1-17.
Yaqoob, I., Salah, K., Jayaraman, R., & Al-Hammadi, Y. (2022). Blockchain for healthcare data management: opportunities, challenges, and future recommendations. Neural Computing and Applications, 1-16.
CRediT Author Statement
All authors reviewed the results and approved the final version of the manuscript.
Acknowledgements
Author(s) thanks to Hanshin University for research lab and equipment support.
Funding
This work was supported by Hanshin University Research Grant.
Ethics declarations
Conflict of interest
The authors have no conflicts of interest to declare that are relevant to the content of this article.
Availability of data and materials
Data sharing is not applicable to this article as no new data were created or analysed in this study.
Author information
Contributions
All authors have equal contribution in the paper and all authors have read and agreed to the published version of the manuscript.
Corresponding author
Hong Seng Phil
School of Computing and Artificial Intelligence, Hanshin University, Osan-si, Gyeonggi-do, 18101, South Korea.
Open Access This article is licensed under a Creative Commons Attribution NoDerivs is a more restrictive license. It allows you to redistribute the material commercially or non-commercially but the user cannot make any changes whatsoever to the original, i.e. no derivatives of the original work. To view a copy of this license, visit https://creativecommons.org/licenses/by-nc-nd/4.0/
Cite this article
Hong Seng Phil, “Revolutionizing Internet of Vehicles with Quantum Key Distribution on Blockchain for Unprecedented Security”, Journal of Machine and Computing, vol.5, no.1, pp. 496-508, January 2025, doi: 10.53759/7669/jmc202505039.