[HTML][HTML] Enhanced Random Forest Classifier with K-Means Clustering (ERF-KMC) for Detecting and Preventing Distributed-Denial-of-Service and Man-in-the-Middle …

AAJ Al-Abadi, MB Mohamed, A Fakhfakh - Computers, 2023 - mdpi.com
In recent years, the combination of wireless body sensor networks (WBSNs) and the Internet
ofc Medical Things (IoMT) marked a transformative era in healthcare technology. This …

GEMLIDS-MIOT: A Green Effective Machine Learning Intrusion Detection System based on Federated Learning for Medical IoT network security hardening

I Ioannou, P Nagaradjane, P Angin… - Computer …, 2024 - Elsevier
The increasing use of Internet of Things (IoT) gadgets in a daily rate has heightened security
apprehension, particularly within the healthcare sector. In order to prevent the unauthorized …

[HTML][HTML] Security Analysis for Smart Healthcare Systems

M Ibrahim, A Al-Wadi, R Elhafiz - Sensors, 2024 - mdpi.com
The healthcare industry went through reformation by integrating the Internet of Medical
Things (IoMT) to enable data harnessing by transmission mediums from different devices …

[PDF][PDF] Robust and Reliable Security Approach for IoMT: Detection of DoS and Delay Attacks through a High-Accuracy Machine Learning Model

AAJ Al-Abadi, MB Mohamed… - Int. J. Recent Innov …, 2023 - researchgate.net
Internet of Medical Things (IoMT) refers to the network of medical devices and healthcare
systems that are connected to the internet. However, this connectivity also makes IoMT …

[PDF][PDF] A systematic review of security and privacy issues in the internet of medical things; the role of machine learning approaches

SS Hameed, WH Hassan, LA Latiff… - PeerJ Computer …, 2021 - peerj.com
Background The Internet of Medical Things (IoMTs) is gradually replacing the traditional
healthcare system. However, little attention has been paid to their security requirements in …

[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 …

[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 …

Survey of Machine Learning based intrusion detection methods for Internet of Medical Things

A Si-Ahmed, MA Al-Garadi, N Boustia - Applied Soft Computing, 2023 - Elsevier
Abstract The Internet of Medical Things (IoMT) allows the collection of physiological data
using sensors, then their transmission to remote servers, permitting physicians and health …

Applied Machine Learning for Securing the Internet of Medical Things in Healthcare

W Lu - … Conference on Advanced Information Networking and …, 2023 - Springer
Integrating mobile computing technologies and human health activities using IoMT devices
can accelerate biomedical discovery and improve the efficiency of healthcare research and …

Detection of Middlebox‐Based Attacks in Healthcare Internet of Things Using Multiple Machine Learning Models

A Al Abdulwahid - Computational Intelligence and …, 2022 - Wiley Online Library
The huge number of network traffic data, the abundance of available network features, and
the diversity of cyber‐attack patterns mean that intrusion detection remains difficult even …