[HTML][HTML] Harris-Hawk-Optimization-Based Deep Recurrent Neural Network for Securing the Internet of Medical Things

S Abbas, GA Sampedro, M Abisado, A Almadhor… - Electronics, 2023 - mdpi.com
The healthcare industry has recently shown much interest in the Internet of Things (IoT). The
Internet of Medical Things (IoMT) is a component of the IoTs in which medical appliances …

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 …

XSRU-IoMT: Explainable simple recurrent units for threat detection in Internet of Medical Things networks

IA Khan, N Moustafa, I Razzak, M Tanveer, D Pi… - Future generation …, 2022 - Elsevier
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 …

An intrusion detection mechanism for secured IoMT framework based on swarm-neural network

S Nandy, M Adhikari, MA Khan… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
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 …

Deep learning-based network intrusion detection system for Internet of medical things

V Ravi, TD Pham, M Alazab - IEEE internet of things magazine, 2023 - ieeexplore.ieee.org
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 …

Supervised machine learning techniques to protect IoT healthcare environment against cyberattacks

S Kaddoura, A El Arid, A Al-Dulaimy - Intelligent Edge Computing for Cyber …, 2023 - Elsevier
Abstract The Internet of Things (IoT) have become the central technology of the current
years. Almost all industries are amalgamating the IoT in their production to enhance the …

A novel attack detection scheme for the industrial internet of things using a lightweight random neural network

S Latif, Z Zou, Z Idrees, J Ahmad - IEEE access, 2020 - ieeexplore.ieee.org
The Industrial Internet of Things (IIoT) brings together many sensors, machines, industrial
applications, databases, services, and people at work. The IIoT is improving our lives in …

[HTML][HTML] Strength of Deep Learning-based Solutions to Secure Healthcare IoT: A Critical Review

AT Mathew, P Mani - The Open …, 2023 - openbiomedicalengineeringjournal …
Healthcare applications of IoT systems have gained huge popularity across the globe. From
personal monitoring to expert clinical diagnosis, healthcare IoT systems have shown their …

Secure Healthcare Model Using Multi-Step Deep Q Learning Network in Internet of Things

PP Roy, V Teju, SR Kandula, KV Sowmya, AI Stan… - Electronics, 2024 - mdpi.com
Internet of Things (IoT) is an emerging networking technology that connects both living and
non-living objects globally. In an era where IoT is increasingly integrated into various …

[HTML][HTML] A Hybrid Genetic Algorithm-Based Random Forest Model for Intrusion Detection Approach in Internet of Medical Things

M Norouzi, Z Gürkaş-Aydın, ÖC Turna, MY Yağci… - Applied Sciences, 2023 - mdpi.com
The Internet of Medical Things (IoMT) is a bio-network of associated medical devices, which
is slowly improving the healthcare industry by focusing its abilities on enhancing personal …