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This project will develop systematic context-aware trust models designed for real-time trust updates in dynamic scenarios like SDVs, where software is continuously optimized to improve end-user services.
The Centre for Future Transport and Cities are seeking applicants for a fully funded Studentship to explore the modelling of timber and hybrid structures for automotive crash analysis and optimisation.
This project proposes developing a Reinforcement Learning-based, adaptable, and context-aware access control system tailored to ZTA for Critical Infrastructures, ensuring robust security while balancing usability in time-sensitive IoT applications.