A comprehensive and systematic literature review on intrusion detection systems in the internet of medical things: current status, challenges, and opportunities
The increasing number of medical devices in the Internet of Medical Things (IoMT)
environment has raised significant cybersecurity concerns. These devices often have weak …
environment has raised significant cybersecurity concerns. These devices often have weak …
Iomt landscape: Navigating current challenges and pioneering future research trends
Technological advancement drives the growth of the Internet of Things (IoT) applications in
many fields, such as smart homes, smart cities, smart grids, and healthcare. IoT in …
many fields, such as smart homes, smart cities, smart grids, and healthcare. IoT in …
[PDF][PDF] 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
kee** track of and discovering unauthorized or malicious actions in medical devices and …
kee** track of and discovering unauthorized or malicious actions in medical devices and …
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 …
Secured mutual wireless communication using real and imaginary-valued artificial neuronal synchronization and attack detection
This research presents a cutting-edge security framework that integrates optimal Intrusion
Detection System (IDS) and Artificial Neural Networks (ANNs)-based key exchange methods …
Detection System (IDS) and Artificial Neural Networks (ANNs)-based key exchange methods …
[HTML][HTML] Ensuring patient safety in IoMT: A systematic literature review of behavior-based intrusion detection systems
Abstract Integrating Internet of Medical Things (IoMT) devices into healthcare has enhanced
patient care, enabling real-time data exchange and remote monitoring, yet it also presents …
patient care, enabling real-time data exchange and remote monitoring, yet it also presents …
Intrusion Detection in IoT using Gaussian Fuzzy Mutual Information-based Feature Selection
The proliferation of Internet of Things (IoT) devices has revolutionized various sectors by
enabling real-time monitoring, data collection, and intelligent decision-making. However, the …
enabling real-time monitoring, data collection, and intelligent decision-making. However, the …
Deep Learning-Driven Anomaly Detection for IoMT-Based Smart Healthcare Systems.
Abstract The Internet of Medical Things (IoMT) is an emerging technology that combines the
Internet of Things (IoT) into the healthcare sector, which brings remarkable benefits to …
Internet of Things (IoT) into the healthcare sector, which brings remarkable benefits to …
Securing IoT-SDN Models: A Comprehensive Review of Deep Learning Approaches and Challenges
P Navaneethakrishnan, SE Peter - 2024 5th International …, 2024 - ieeexplore.ieee.org
Rapid Advancements of Internet of things (IoT) devices and the integration of Software-
Defined Networking (SDN) have introduced complex security challenges that demand …
Defined Networking (SDN) have introduced complex security challenges that demand …