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is still to materialise, with one of the key barriers being its cyber security and privacy concerns. These concerns include data security, user privacy, and the potential manipulation or tracking
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explore solutions to implement grid optimisation in a cyber-secure manner, such as enabling encryption services, and quantify the associated trade-offs. The results will be validated using datasets provided
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novelty of the research will contribute to the academic fields of data science, computing, psychology and cybersecurity. Research findings will be disseminated to both academic and public audiences
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cyber threats and protect against potential disruptions and data breaches. The research aims to develop and implement cutting-edge automated security systems that excel in real-time threat detection and
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groups: Cyber-physical Health and Assistive Robotics Technologies Computational Optimisation and Learning Lab Computer Vision Lab Cyber Security Functional Programming Intelligent Modelling and Analysis
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Project title: Privacy/Security Risks in Machine/Federated Learning systems Supervisory Team: Dr Han Wu Project description: In the wake of growing data privacy concerns and the enactment
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A funded PhD studentship is available within the Autonomous and Cyber Physical Systems Centre at Cranfield University, Bedfordshire, UK. As aerospace platforms go through their service life, gradual