[HTML][HTML] Transformative impacts of the internet of medical things on modern healthcare

SF Ahmed, S Sharmin, SA Kuldeep, A Lameesa… - Results in …, 2024 - Elsevier
Abstract The Internet of Medical Things (IoMT) offers real-time data insights, reduces energy
costs, and enhances patient comfort, presenting transformative potential for healthcare …

Iomt landscape: Navigating current challenges and pioneering future research trends

B Alturki, Q Abu Al-Haija, RA Alsemmeari… - Discover Applied …, 2025 - Springer
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 …

[HTML][HTML] RCLNet: an effective anomaly-based intrusion detection for securing the IoMT system

JA Shaikh, C Wang, WUS Muhammad… - Frontiers in Digital …, 2024 - frontiersin.org
The Internet of Medical Things (IoMT) has revolutionized healthcare with remote patient
monitoring and real-time diagnosis, but securing patient data remains a critical challenge …

Discover Applied Sciences

B Alturki, QA Al‑Haija, RA Alsemmeari, AA Alsulami… - 2024 - search.proquest.com
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 …

Enhancing Cyber Threat Detection on the Internet of Healthcare Thing Devices Using Hybrid CNN-Federated Learning Algorithms

A Kotoklo - 2024 - search.proquest.com
The introduction of the Internet of Things (IoT) technology into how daily routines has
sparked a technological revolution across all sectors of society. The inclusion of these IoT …

Next-Generation Cybersecurity Defense Based on Meta-Learning and Hybrid Model Prototypes in Action

S Salmi, L Oughdir - Available at SSRN 4967471 - papers.ssrn.com
In the face of increasingly sophisticated cyber threats, defending against denial-of-service
(DoS) attacks requires more than just traditional methods. Static models and limited datasets …

Strengthening Security in the Internet of Medical Things: Fgsm-Driven Adversarial Training for Hybrid Lr-Bilstm Intrusion Detection Systems

S Sankeawthong, Y Zhang, X Cao - Available at SSRN 5073958 - papers.ssrn.com
Abstract The Internet of Medical Things (IoMT) has transformed modern healthcare systems
by integrating networked medical equipment, facilitating real-time monitoring, diagnosis, and …