Securing Next-Generation Connected Healthcare Systems: Artificial Intelligence Technologies

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. Covers the latest next generation connected healthcare technologies using parallel computingPresents all the security aspects in next-generation technologies for healthcareUtilizes technologies such as blockchain and its integration with IoT for communication, data security, and trust managementDiscusses privacy and security issues and challenges in data intensive cloud computing environmentDives into the concept of parallel and distributed computing technologies and their applications in the real world INDICE: 1. Security, Privacy and Artificial Intelligence: Challenges for Protecting Health Information in a New Era2. Ai-Driven IoT for Smart Health Care: Security and Privacy Issues3. Securing Healthcare Systems Using Future AI Technology: A State-Of-The-Art Systematic Literature Review and Future Research Directions4. New AI Technology Protects Privacy in Healthcare Settings5. Risk Monitoring Strategy for Confidentiality of Healthcare Information6. Securing Healthcare AI with Confidential Computing7. A Management Method of Chronic Diseases in the Elderly Based on IoT Security Environment8. Secure and Pervasive Communication Framework Using Named Data Networking for Connected Healthcare9. A Novel Hybrid Encryption Method to Secure Healthcare Data in IoT-Enabled Healthcare Infrastructure10. Securing E-Health Application of Cloud Computing Using Hyperchaotic Image Encryption Framework11. Parkinson and Essential Tremor Classification to Identify the Patient's Risk Based on Tremor Severity12. A Novel Method for Lung Nodule Detection in Computed Tomography Scans Based on Boolean Equations and Vector of Filters Techniques13. Stacking Approach for Accurate Invasive Ductal Carcinoma Classification14. A New Blockchain and Fog Computing Model for Blood Pressure Medical Sensor Data Storage15. A Secure Energy-Efficient Routing Protocol for Disease Data Transmission Using IOMT16. An Efficient Framework for Semantically-Correlated Term Detection and Sanitization In Clinical Documents17. Remote Monitoring System Using Light Fidelity and Infrared Technologies18. A Tree Classifier Based Network Intrusion Detection Model for Internet of Medical Things19. AI-driven Cybersecurity for Healthcare Cyber Physical Systems20. Blockchain Security Connecting Different IoT Healthcare Protocols

• ISBN: 978-0-443-13951-2
• Editorial: Academic Press
• Encuadernacion: Rústica
• Páginas: 252
• Fecha Publicación: 20/05/2024
• Nº Volúmenes: 1
• Idioma: Inglés