Security and Biometrics

IoT for healthcare has emerged as one of the fastest growing sectors in healthcare industry. A myriad of new wearable and implantable sensors have been introduced in recent years for wellbeing and healthcare applications, ranging from hydration sensing wristbands, glucose sensing patches, to ingestible core body temperature sensors and drug eluting stents. These smart devices have facilitated the transformation of healthcare services, enabling personalised and preventative patient care. To support autonomous decision support and personalised care, these new healthcare devices need to be integrated with additional sensing devices, as well as patient health records and other IoT devices including environmental monitoring and control. Security and privacy are major concerns with these new generation of wearable and implantable healthcare devices and systems. We have introduced a number of novel approaches for securing IoT and wearable devices and systems, such as:

• Light-weight Internet-of-Things Device Authentication, Encryption and Key Distribution using End-to-End Neural Cryptosystems
• An EEG-based User Identication System
• An Artificial Neural Network Framework for Gait Based Biometrics
• Random Number Generation Using Inertial Measurement Unit for on-Body IoT Devices