Toward a Secure Healthcare Ecosystem: A Convergence of Edge Analytics, Blockchain, and Federated Learning

E Badidi, H Lamaazi… - 2024 20th International …, 2024 - ieeexplore.ieee.org
Modern healthcare organizations face various cy-bersecurity threats due to the digitization of
their systems. These threats include data breaches, ransomware attacks, and unauthorized …

SAFE-HEALTH: A Secure Framework for Advancing Edge-Based Health 5.0

N Farhadighalati, NF Ghalaty… - 2023 IEEE 9th World …, 2023 - ieeexplore.ieee.org
Currently, the healthcare sector is transforming rapidly toward a computing-based approach.
Some factors such as live data assessment make cloud computing incompatible with …

[HTML][HTML] Securing healthcare data in industrial cyber-physical systems using combining deep learning and blockchain technology

MA Mohammed, A Lakhan, DA Zebari… - … Applications of Artificial …, 2024 - Elsevier
Industrial cyber–physical systems (ICPS) are emerging platforms for various industrial
applications. For instance, remote healthcare monitoring, real-time healthcare data …

Secure Healthcare Systems Based on Big Data Analytics

A Angel Cerli, K Kalaiselvi… - Handbook of Intelligent …, 2022 - Wiley Online Library
Adapting the digitization of medical information, such as hospital diagnostic reports,
generates vast volumes of data over a limited period in the modern healthcare environment …

Security aspects related Intelligent e-Health Systems

H Rafik, A Ettaoufik, A Maizate - ITM Web of Conferences, 2023 - itm-conferences.org
Current health situations and crises require physicians and researchers to convert traditional
healthcare services to a new generation of digital healthcare known as e-health smart …

Federated learning-guided intrusion detection and neural key exchange for safeguarding patient data on the internet of medical things

C Zhong, A Sarkar, S Manna, MZ Khan… - International Journal of …, 2024 - Springer
To improve the security of the Internet of Medical Things (IoMT) in healthcare, this paper
offers a Federated Learning (FL)-guided Intrusion Detection System (IDS) and an Artificial …

ssHealth: toward secure, blockchain-enabled healthcare systems

AA Abdellatif, AZ Al-Marridi, A Mohamed… - IEEE …, 2020 - ieeexplore.ieee.org
The future of healthcare systems is being shaped by incorporating emerged technological
innovations to drive new models for patient care. By acquiring, integrating, analyzing, and …

White paper on cybersecurity in the healthcare sector. The HEIR solution

K Lampropoulos, A Zarras, E Lakka, P Barmpaki… - arXiv preprint arXiv …, 2023 - arxiv.org
The healthcare sector is increasingly vulnerable to cyberattacks due to its growing
digitalization. Patient data, including medical records and financial information, are at risk …

A blockchain-based model for efficient, privacy-preserving online medical diagnoses

K Rais, M Derdour, M Amroune - 2022 4th International …, 2022 - ieeexplore.ieee.org
Patient personal data is growing exponentially due to the digitization of medical systems and
the increasing number of patients and diseases which can be collected during online …

Smart h‐Chain: A blockchain based healthcare framework with insurance fraud detection

S Mahapatra, D Sinha - Transactions on Emerging …, 2024 - Wiley Online Library
In today's smart applications, very frequently used data like electronic health records (EHR's)
are highly sensitive and soft target to the unauthorized agencies. Data management …