Tanwar S. (ed.) Blockchain for 5G Healthcare Applications: Security and privacy solutions

The Institution of Engineering and Technology, 2021. — 582 p. — (IET Healthcare Technologies Series 35). — ISBN: 978-1-83953-326-6.A secured system for Healthcare 4.0 is vital to all stakeholders, including patients and caregivers. Using the new Blockchain system of trusted ledgers would help guarantee authenticity in the multi-access system that is Healthcare 4.0.This is the first comprehensive book that explores how to achieve secure systems for Healthcare 4.0 using Blockchain, with emphasis on the key challenges of privacy and security.The book is organized into four sections. The first section is focused on 5G healthcare privacy and security concerns. The second section discusses healthcare architecture and emerging technologies. The third section covers the role of artificial intelligence for data security and privacy in 5G healthcare services. Finally, the last section systematically illustrates the adoption of blockchain in various applications of 5G healthcare.The book is essential reading for all involved in setting up, running, and maintaining healthcare information systems. Engineers, scientists, technologists, developers, designers, and researchers in healthcare technologies, health informatics, security, and information technology will find the content particularly useful.Security and privacy requirements in 5G healthcare.
Ethical and legal aspects of using blockchain technology for 5G-based healthcare systems.
Blockchain-based 5G-enabled health-care system: an analysis of security and privacy issues.
Enhanced blockchain technology associated with IoT for security and privacy communications in 5G.
5G-driven radio framework for proficient smart health-care institutions.
Traditional vs. the blockchain-based architecture of 5G healthcare.
Integrating blockchain technology in 5G-enabled smart healthcare: A SWOT Analysis.
Architectural framework of 5G-based smart healthcare system using blockchain technology.
Application of millimeter-wave (mm-Wave)-based device-to-device (D2D) communication in 5G healthcare.
Security and privacy in health data storage and its analytics.
Artificial intelligence and machine learning techniques for diabetes healthcare.
Analytics for data security and privacy in 5G healthcare services.
Contactless attendance system: a healthcare approach to prevent spreading of covid-19.
Blockchain-based smart contracts for e-healthcare management 4.0.
Detection of COVID-19 and its symptoms using chest X-rays for health care.
Security and privacy control in 5G-enabled health care using blockchain.
M2M for health care with blockchain security aspects.