Anomaly detection in IoT-based healthcare: machine learning for enhanced security
MM Khan, M Alkhathami - Scientific Reports, 2024 - nature.com
Abstract Internet of Things (IoT) integration in healthcare improves patient care while also
making healthcare delivery systems more effective and economical. To fully realize the …
making healthcare delivery systems more effective and economical. To fully realize the …
Detecting cyberthreats in Metaverse learning platforms using an explainable DNN
The rapid integration of the Internet of Artificial Intelligence and Internet of Things (AI-IoT)
technologies has given rise to a pivotal element of the upcoming digital era, the Metaverse …
technologies has given rise to a pivotal element of the upcoming digital era, the Metaverse …
Review on Approaches of Federated Modeling in Anomaly-Based Intrusion Detection for IoT Devices
The novelty of Federated Learning (FL) has emerged as a promising alternative to
centralized machine learning systems in the context of anomaly-based intrusion detection …
centralized machine learning systems in the context of anomaly-based intrusion detection …
Training Machine Learning models at the Edge: A Survey
Edge Computing (EC) has gained significant traction in recent years, promising enhanced
efficiency by integrating Artificial Intelligence (AI) capabilities at the edge. While the focus …
efficiency by integrating Artificial Intelligence (AI) capabilities at the edge. While the focus …
Performance Evaluation of Deep Learning Models for Classifying Cybersecurity Attacks in IoT Networks
FL Becerra-Suarez, VA Tuesta-Monteza… - Informatics, 2024 - mdpi.com
The Internet of Things (IoT) presents great potential in various fields such as home
automation, healthcare, and industry, among others, but its infrastructure, the use of open …
automation, healthcare, and industry, among others, but its infrastructure, the use of open …
[PDF][PDF] Review on Approaches of Federated Modeling in Anomaly-Based Intrusion Detection for IoT Devices
AA MUAZU, UD MAIWADA - 2024 - researchgate.net
ABSTRACT The novelty of Federated Learning (FL) has emerged as a promising alternative
to centralized machine learning systems in the context of anomaly-based intrusion detection …
to centralized machine learning systems in the context of anomaly-based intrusion detection …
Machine Learning-Based Attack Detection for the Internet of Things
DD Bikila, J Čapek - Available at SSRN 4785042 - papers.ssrn.com
The number of Internet of Things (IoT) device connections is increasing rapidly as IoT
applications are vital in any operation. IoT must maintain safe internet access that withstands …
applications are vital in any operation. IoT must maintain safe internet access that withstands …