Securing Next-Generation Connected Healthcare Systems focuses on the crucial aspects of IoT security in a connected environment, which will not only benefit from cutting-edge methodological approaches but also assist in the rapid scalability and improvement of these systems. This book shows how to utilize technologies like blockchain and its integration with IoT for communication, data security, and trust management. This book will introduce the security aspect of next generation technologies for healthcare, covering a wide range of security and computing methodologies. Researchers, data scientists, students, and professionals interested in the application of artificial intelligence in healthcare management, data security of connected healthcare systems and related fields, specifically on data intensive secured systems and computing environments will finds this to be a welcomed resource.

Covers the latest next generation connected healthcare technologies using parallel computing
Presents all the security aspects in next-generation technologies for healthcare
Utilizes technologies such as blockchain and its integration with IoT for communication, data security, and trust management
Discusses privacy and security issues and challenges in data intensive cloud computing environment
Dives into the concept of parallel and distributed computing technologies and their applications in the real world

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Yes, you can access Securing Next-Generation Connected Healthcare Systems by Deepak Gupta, Aboul Ella Hassanien, Deepak Gupta,Aboul Ella Hassanien in PDF and/or ePUB format, as well as other popular books in Informatica & Intelligenza artificiale (IA) e semantica. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Academic Press

Year

2024

ISBN

9780443139529

Topic

Informatica

Subtopic

Intelligenza artificiale (IA) e semantica

Cover image
Title page
Table of Contents
Copyright
List of contributors
Chapter 1. Authentication protocols for securing IoMT: current state and technological advancements
Chapter 2. Optimal machine learning–based data classification on Internet of medical things environment
Chapter 3. Artificial intelligence–based security attack detection for healthcare cyber-physical system: lightweight deep stochastic learning
Chapter 4. Preparedness and impact of cyber secure system in clinical domain
Chapter 5. Enhanced Galactic Swarm Algorithm with Encryption Technique for Medical Image Security in Internet of Things environment
Chapter 6. An efficient heart disease prediction model using particle swarm–optimized ensemble classifier model
Chapter 7. A thorough analysis on mitigating the risk of gastric cancer using proper nutrition
Chapter 8. Application of blockchain and fog computing in healthcare services
Chapter 9. Forensics in the Internet of Medical Things
Chapter 10. Artificial intelligence driven cybersecurity in digital healthcare frameworks
Index