[HTML][HTML] Federated learning for secure IoMT-applications in smart healthcare systems: A comprehensive review

S Rani, A Kataria, S Kumar, P Tiwari - Knowledge-based systems, 2023 - Elsevier
Recent developments in the Internet of Things (IoT) and various communication
technologies have reshaped numerous application areas. Nowadays, IoT is assimilated into …

Recent advances in the internet-of-medical-things (IoMT) systems security

A Ghubaish, T Salman, M Zolanvari… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
The rapid evolutions in microcomputing, mini-hardware manufacturing, and machine-to-
machine (M2M) communications have enabled novel Internet-of-Things (IoT) solutions to …

Security and privacy of internet of medical things: A contemporary review in the age of surveillance, botnets, and adversarial ML

RU Rasool, HF Ahmad, W Rafique, A Qayyum… - Journal of Network and …, 2022 - Elsevier
Abstract Internet of Medical Things (IoMT) supports traditional healthcare systems by
providing enhanced scalability, efficiency, reliability, and accuracy of healthcare services. It …

[HTML][HTML] Biometrics for internet-of-things security: A review

W Yang, S Wang, NM Sahri, NM Karie, M Ahmed… - Sensors, 2021 - mdpi.com
The large number of Internet-of-Things (IoT) devices that need interaction between smart
devices and consumers makes security critical to an IoT environment. Biometrics offers an …

[HTML][HTML] A comprehensive survey on security and privacy for electronic health data

SR Oh, YD Seo, E Lee, YG Kim - International Journal of Environmental …, 2021 - mdpi.com
Recently, the integration of state-of-the-art technologies, such as modern sensors, networks,
and cloud computing, has revolutionized the conventional healthcare system. However …

PerAE: an effective personalized AutoEncoder for ECG-based biometric in augmented reality system

L Sun, Z Zhong, Z Qu, N **ong - IEEE journal of biomedical and …, 2022 - ieeexplore.ieee.org
With the development of the Augmented and Virtual Reality (AR/VR) technologies, massive
biometric data are collected by different organizations. These data have great significance …

SleepPoseNet: Multi-view learning for sleep postural transition recognition using UWB

M Piriyajitakonkij, P Warin, P Lakhan… - IEEE Journal of …, 2020 - ieeexplore.ieee.org
Recognizing movements during sleep is crucial for the monitoring of patients with sleep
disorders, and the utilization of ultra-wideband (UWB) radar for the classification of human …

A lightweight attention-based CNN model for efficient gait recognition with wearable IMU sensors

H Huang, P Zhou, Y Li, F Sun - Sensors, 2021 - mdpi.com
Wearable sensors-based gait recognition is an effective method to recognize people's
identity by recognizing the unique way they walk. Recently, the adoption of deep learning …

The future of cardiovascular stents: bioresorbable and integrated biosensor technology

D Hoare, A Bussooa, S Neale, N Mirzai… - Advanced …, 2019 - Wiley Online Library
Cardiovascular disease is the greatest cause of death worldwide. Atherosclerosis is the
underlying pathology responsible for two thirds of these deaths. It is the age‐dependent …