Enhancing the Internet of Medical Things (IoMT) Security with Meta-Learning: A Performance-Driven Approach for Ensemble Intrusion Detection Systems
M Alalhareth, SC Hong - Sensors, 2024 - mdpi.com
This paper investigates the application of ensemble learning techniques, specifically meta-
learning, in intrusion detection systems (IDS) for the Internet of Medical Things (IoMT). It …
learning, in intrusion detection systems (IDS) for the Internet of Medical Things (IoMT). It …
Efficient Intrusion Detection using OptCNN-LSTM Model based on hybrid Correlation-based Feature Selection in IoMT
Intrusion detection in the IoMT (Internet of Medical Things) represents the process of
keeping track of and discovering unauthorized or malicious actions in medical devices and …
keeping track of and discovering unauthorized or malicious actions in medical devices and …
Utilizing Deep Learning to Enhanced Security in the Internet of Medical Things via Intrusion Detection Systems
T Revathi, K Anbazhagan… - … Conference on Emerging …, 2024 - ieeexplore.ieee.org
The incorporation of the Internet based Things (IoT) into medical applications has
significantly improved healthcare operations and patient treatment. Real-time patient …
significantly improved healthcare operations and patient treatment. Real-time patient …
Gaussian Bare-Bones Butterfly Optimization Algorithm (GBBOA) based Support Vector Machine (SVM) for Cyberattack Detection in Healthcare
LH Alzubaidi, GS Nijaguna, SN Pasha… - 2024 International …, 2024 - ieeexplore.ieee.org
Usage of Internet of Things (IoT) in medical area is defined as IoMT that plays a signif-icant
part in exchanging of sensitive information between medical systems. Though, that comes …
part in exchanging of sensitive information between medical systems. Though, that comes …
Enhancing Rose Leaf Disease Detection Accuracy Using Optimized CNN Parameters
The CNN model developed in this study demonstrated remarkable performance, achieving
an outstanding validation accuracy of 99.96%. Through experimentation, it was found that …
an outstanding validation accuracy of 99.96%. Through experimentation, it was found that …