Securing Next-Generation Connected Healthcare Systems

Artificial Intelligence Technologies
Erscheinungsjahr 2024
ISBN: 978-0-443-13951-2
Verlag: Elsevier Health Sciences

Buch, Englisch, 300 Seiten, Format (B × H): 151 mm x 229 mm, Gewicht: 450 g

Securing Next-Generation Connected Healthcare Systems: Artificial Intelligence Technologies 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. It introduces 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.

Autoren/Hrsg.

Gupta, Deepak

Hassanien, Aboul Ella

Fachgebiete

• Mathematik | Informatik EDV | Informatik Business Application Unternehmenssoftware
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Wissensbasierte Systeme, Expertensysteme
• Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Algorithmen & Datenstrukturen
• Wirtschaftswissenschaften Betriebswirtschaft Betriebswirtschaft: Theorie & Allgemeines
• Mathematik | Informatik Mathematik Mathematik Allgemein Diskrete Mathematik, Kombinatorik

Inhaltsverzeichnis

1. Security, Privacy and Artificial Intelligence: Challenges for Protecting Health Information in a New Era
2. Ai-Driven IoT for Smart Health Care: Security and Privacy Issues
3. Securing Healthcare Systems Using Future AI Technology: A State-Of-The-Art Systematic Literature Review and Future Research Directions
4. New AI Technology Protects Privacy in Healthcare Settings
5. Risk Monitoring Strategy for Confidentiality of Healthcare Information
6. Securing Healthcare AI with Confidential Computing
7. A Management Method of Chronic Diseases in the Elderly Based on IoT Security Environment
8. Secure and Pervasive Communication Framework Using Named Data Networking for Connected Healthcare
9. A Novel Hybrid Encryption Method to Secure Healthcare Data in IoT-Enabled Healthcare Infrastructure
10. Securing E-Health Application of Cloud Computing Using Hyperchaotic Image Encryption Framework
11. Parkinson and Essential Tremor Classification to Identify the Patient's Risk Based on Tremor Severity
12. A Novel Method for Lung Nodule Detection in Computed Tomography Scans Based on Boolean Equations and Vector of Filters Techniques
13. Stacking Approach for Accurate Invasive Ductal Carcinoma Classification
14. A New Blockchain and Fog Computing Model for Blood Pressure Medical Sensor Data Storage
15. A Secure Energy-Efficient Routing Protocol for Disease Data Transmission Using IOMT
16. An Efficient Framework for Semantically-Correlated Term Detection and Sanitization In Clinical Documents
17. Remote Monitoring System Using Light Fidelity and Infrared Technologies
18. A Tree Classifier Based Network Intrusion Detection Model for Internet of Medical Things
19. AI-driven Cybersecurity for Healthcare Cyber Physical Systems
20. Blockchain Security Connecting Different IoT Healthcare Protocols

Über Autor(innen)

Gupta, Deepak
Dr. Deepak Gupta is an assistant professor at Maharaja Agrasen Institute of Technology, Delhi, India. He is an eminent academician, including roles as lecturer, researcher, consultant, community service, PhD, and post-doctorate supervision. Dr. Gupta focuses on rational and practical learning and has contributed important literature in the fields of Human-Computer Interaction, Intelligent Data Analysis, Nature-Inspired Computing, Machine Learning, and Soft Computing. Dr. Gupta has authored/edited a number of books, including Emerging Trends and Roles of Fog, Edge, and Pervasive Computing in Intelligent IoT-Driven Applications, Wiley; Advanced Machine Intelligence and Signal Processing, Springer; Deep Learning for Medical Applications with Unique Data, Elsevier/Academic Press; Explainable Edge AI: A Futuristic Computing Perspective, Springer; Applications of Big Data in Healthcare, Elsevier/Academic Press; and Data Science for Covid-19, Volumes 1 and 2, Elsevier/Academic Press; among others.

Hassanien, Aboul Ella
Dr Aboul Ella Hassanein is the Founder and Head of the Egyptian Scientific Research Group (SRGE), Cairo Univesrity, and a Professor of Information Technology at the Faculty of Computer and Information, Cairo University. Professor Hassanien is ex-dean of the faculty of computers and information, Beni Suef University. Professor Hassanien has more than 800 scientific research papers published in prestigious international journals and over 40 books covering such diverse topics as data mining, medical images, intelligent systems, social networks and smart environment.