6G and Intelligent Healthcare: Taxonomy, technologies, open issues and future research directions
ABSTRACT A decentralized patient-centric paradigm is gradually replacing the traditional
hospital and specialist-focused healthcare model. Communication technologies have made …
hospital and specialist-focused healthcare model. Communication technologies have made …
Cybersecurity for Sustainable Smart Healthcare: State of the Art, Taxonomy, Mechanisms, and Essential Roles
Cutting-edge technologies have been widely employed in healthcare delivery, resulting in
transformative advances and promising enhanced patient care, operational efficiency, and …
transformative advances and promising enhanced patient care, operational efficiency, and …
[HTML][HTML] Federated learning for IoT devices: Enhancing TinyML with on-board training
M Ficco, A Guerriero, E Milite, F Palmieri… - Information …, 2024 - Elsevier
The spread of the Internet of Things (IoT) involving an uncountable number of applications,
combined with the rise of Machine Learning (ML), has enabled the rapid growth of pervasive …
combined with the rise of Machine Learning (ML), has enabled the rapid growth of pervasive …
Integrating the Internet of Things (IoT) in SPA Medicine: innovations and challenges in digital wellness
Integrating modern and innovative technologies such as the Internet of Things (IoT) and
Machine Learning (ML) presents new opportunities in healthcare, especially in medical spa …
Machine Learning (ML) presents new opportunities in healthcare, especially in medical spa …
[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 …
optimization and AdaBoost algorithms to classify and detect malware-related records in …
Fedcure: A heterogeneity-aware personalized federated learning framework for intelligent healthcare applications in iomt environments
The advent of the Internet of Medical Things (IoMT) devices has led to a healthcare
revolution, introducing a new era of smart applications driven by Artificial Intelligence (AI) …
revolution, introducing a new era of smart applications driven by Artificial Intelligence (AI) …
Beyond conventional threat defense: Implementing advanced threat modeling techniques, risk modeling frameworks and contingency planning in the healthcare …
AA Salami, UTGI Igwenagu… - Journal of …, 2024 - asian.go4sending.com
This research study explores the integration of advanced threat and risk modeling with
scenario and contingency planning to enhance security and resilience within healthcare …
scenario and contingency planning to enhance security and resilience within healthcare …
An Interval-valued Spherical Fuzzy CIMAS-WISP Group Decision-analytic Model for Blockchain Platform Selection in Digital Projects
Digital projects aspiring to reach target audiences are executed through decentralized and
trustworthy blockchain platforms (BPs). Once the objectives and target audience of a digital …
trustworthy blockchain platforms (BPs). Once the objectives and target audience of a digital …
Secure personal-health-records searching in edge-based Internet of Medical Things through plaintext checkable encryption
Abstract The security of Personal Health Records (PHRs) within the Internet of Medical
Things (IoMT) infrastructure is a pressing issue in the healthcare sector. Edge-based IoMT …
Things (IoMT) infrastructure is a pressing issue in the healthcare sector. Edge-based IoMT …
[HTML][HTML] Mitigating Adversarial Attacks against IoT Profiling
Internet of Things (IoT) applications have been helping society in several ways. However,
challenges still must be faced to enable efficient and secure IoT operations. In this context …
challenges still must be faced to enable efficient and secure IoT operations. In this context …