Quantum-Resilient Security for Safety-Critical Vehicular Systems (MALIKH_U26CMP)
About the Project
The rapid growth of connected and autonomous vehicular systems is transforming modern transport infrastructure. However, advances in quantum computing are expected to undermine the security of current cryptographic methods. This creates a pressing need for robust and future-proof security solutions for safety-critical, real-time vehicular communication systems.
This PhD project aims to develop quantum-resilient security approaches for connected vehicular systems. The research will investigate the suitability of post-quantum cryptographic (PQC) techniques for dynamic and resource-constrained vehicular communication infrastructures operating within emerging 6G-enabled networks. A key focus will be on understanding the trade-offs between security strength, computational overhead, and communication latency in time-sensitive environments.
The project will combine system modelling, simulation, and algorithmic implementation to evaluate PQC schemes under realistic vehicular conditions. Beyond performance analysis, the research will explore adaptive and lightweight strategies to enable efficient key management and secure communication in highly dynamic settings. It will also investigate optimisation techniques for resource-constrained platforms and identify practical design principles for integrating quantum-resilient security into deployable vehicular systems.
The expected outcomes include novel approaches and frameworks for deploying efficient, low-latency, and scalable security mechanisms tailored to vehicular applications. The research will support the secure operation of autonomous transport systems and strengthen the resilience of vehicular communication networks.
The broader societal impact lies in improving the safety, reliability, and trustworthiness of connected transport systems. By enhancing the resilience of vehicular communication, the project contributes to safer mobility and reduced vulnerability to cyber threats.
The student will gain interdisciplinary expertise in cybersecurity, networked systems, and applied cryptography, with opportunities for collaboration with academic and industry partners.
The School of Computing Sciences (https://www.uea.ac.uk/about/school-of-computing-sciences) provides a vibrant research environment for conducting Computing and allied research and training. We collaborate with multi-national companies such as Apple, BT, the National Trust and Aviva, research institutes in the Norwich Research Park (https://www.norwichresearchpark.com), as well as other universities and industries in the UK and overseas. We are also members of the Turing University Network, a group of 65 UK universities working together to advance world-class research and build skills for the future.
The successful candidate will also be expected to contribute to Tutor activities for laboratory support on our BSc and MSc Courses in Artificial Intelligence, Data Science, Computing Sciences and Cyber Security commensurate with their core expertise, within the working hours permitted for full-time Postgraduate Researchers.
Funding Notes
This PhD project is in a competition for a Faculty of Science funded studentship. Funding is available to UK applicants and comprises ‘home’ tuition fees, an annual stipend for 3 years and a research training support budget.
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