research / IoMT
Trust management for medical IoT
CyberASAP research associate project at the University of East Anglia: AI-enabled multi-tier trust management for the Internet of Medical Things.
Inside the work.
The work modelled threats and the attack surface of Internet of Medical Things devices, including confidentiality, integrity, and availability risks in the devices and the networks they join.
A multi-tier trust architecture uses an IoT hub and cloud analytics to judge whether a device is trustworthy. Machine learning anomaly detection, in Python and scikit-learn, flags cyber threats and device malfunctions in the data streams.