[HTML][HTML] Extreme learning machine and bayesian optimization-driven intelligent framework for IoMT cyber-attack detection
Abstract The Internet of Medical Things (IoMT) is a bionetwork of allied medical devices,
sensors, wearable biosensor devices, etc. It is gradually reforming the healthcare industry by …
sensors, wearable biosensor devices, etc. It is gradually reforming the healthcare industry by …
XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks
Abstract The Internet of Medical Things (IoMT) is increasingly replacing the traditional
healthcare systems. However, less focus has been paid to their security against cyber …
healthcare systems. However, less focus has been paid to their security against cyber …
A secure ensemble learning-based fog-cloud approach for cyberattack detection in IoMT
The Internet of Medical Things (IoMT) effectively tackles several shortcomings of
conventional healthcare systems. It includes medical personnel shortages, patient care …
conventional healthcare systems. It includes medical personnel shortages, patient care …
[HTML][HTML] An investigation and comparison of machine learning approaches for intrusion detection in IoMT network
A Binbusayyis, H Alaskar, T Vaiyapuri… - The Journal of …, 2022 - Springer
Abstract Internet of Medical Things (IoMT) is network of interconnected medical devices
(smart watches, pace makers, prosthetics, glucometer, etc.), software applications, and …
(smart watches, pace makers, prosthetics, glucometer, etc.), software applications, and …
Deep learning-based network intrusion detection system for Internet of medical things
This article presents a deep learning-based approach for network-based intrusion detection
in the Internet of medical things (IoMT) systems using features of network flows and patient …
in the Internet of medical things (IoMT) systems using features of network flows and patient …
Dew-cloud-based hierarchical federated learning for intrusion detection in IoMT
The coronavirus pandemic has overburdened medical institutions, forcing physicians to
diagnose and treat their patients remotely. Moreover, COVID-19 has made humans more …
diagnose and treat their patients remotely. Moreover, COVID-19 has made humans more …
Secure IoMT for disease prediction empowered with transfer learning in healthcare 5.0, the concept and case study
Identifying human diseases remains a difficult process, even in the age of advanced
information technology and the smart healthcare industry 5.0. In the smart healthcare …
information technology and the smart healthcare industry 5.0. In the smart healthcare …
Efficient cyber attack detection on the internet of medical things-smart environment based on deep recurrent neural network and machine learning algorithms
YK Saheed, MO Arowolo - IEEE Access, 2021 - ieeexplore.ieee.org
Information and communication technology (ICT) advancements have altered the entire
computing paradigm. As a result of these improvements, numerous new channels of …
computing paradigm. As a result of these improvements, numerous new channels of …
An intrusion detection mechanism for secured IoMT framework based on swarm-neural network
The seamless integration of medical sensors and the Internet of Things (IoT) in smart
healthcare has leveraged an intelligent Internet of Medical Things (IoMT) framework to …
healthcare has leveraged an intelligent Internet of Medical Things (IoMT) framework to …
[HTML][HTML] Optimized machine learning enabled intrusion detection 2 system for internet of medical things
Z Sun, G An, Y Yang, Y Liu - Franklin Open, 2024 - Elsevier
This research paper proposes an intrusion detection system that combines particle swarm
optimization and AdaBoost algorithms to classify and detect malware-related records in …
optimization and AdaBoost algorithms to classify and detect malware-related records in …