Securing Our Future 5G Health Care against Malicious Attempts with Adaptive Machine Learning

01/01/2017 - 30/09/2017

project image
Securing Our Future 5G Health Care against Malicious Attempts with Adaptive Machine Learning is a Research - Other Sources project funded by ENU Internal Research Funding Competition. Carried out in collaboration with and others. For further information please refer to .
 
[Read More]

Related Projects

  • CM2000 Optimiser Contract Research Phase 3: Benchmarking
  • KTP - Payfont
    To create the ability in Payfont to research and deliver, using Universal Design principles and processes based on BS8878, the optimal secure user experience (UX) in secure transactions
  • dot.rural Portrait KE
    Portrait is a software tool developed to help care staff get to know personal and social information about clients that live in residential care facilities. The Portrait system consists of a biography for individuals with dementia who live in a care environment.
  • KTP Standard Life
    The development of enhanced data analytics capabilities to enable the modelling, analysis and presentation of complex data to improve Group Internal Audit’s assessment and insight into business risks and performance
  • vSOC - KTP
next prev

Areas of Expertise link icon

  • Cyber-Security
    Electronic information now plays a vital role in almost every aspect of our daily lives. So the need for a secure and trustworthy online infrastructure is more important than ever. without it, not only the growth of the internet but our personal interactions and the economy itself could be at risk.
  • eHealth
    The way healthcare is delivered changes rapidly. The reasons are demographic and societal changes, austerity and rapid progressive technologies. Care models are shifting from specialist oriented hospital based to distributed, patient centred care.
  • Information Science
next prev

Project Team

Associated Publications