Securing Next-Generation Connected Healthcare Systems
Artificial Intelligence Technologies
Published on 20. May 2024
Book
Paperback/Softback
252 pages
978-0-443-13951-2 (ISBN)
Description
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.
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.
More details
Language
English
Place of publication
San Diego
United States
Publishing group
Elsevier Science Publishing Co Inc
Target group
Professional and scholarly
College/higher education
Product notice
Paperback (trade)
Unsewn / adhesive bound
Dimensions
Height: 152 mm
Width: 230 mm
Thickness: 15 mm
Weight
420 gr
ISBN-13
978-0-443-13951-2 (9780443139512)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions
Deepak Gupta | Aboul Ella Hassanien
Securing Next-Generation Connected Healthcare Systems
Artificial Intelligence Technologies
E-Book
05/2024
Academic Press
€160.00
Available for download
Persons
Dr. Aditya Khamparia has expertise in teaching, entrepreneurship, and research and development of 11 years. He is presently working as Assistant Professor in Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. He received his Ph.D. degree from Lovely Professional University, Punjab, India in May 2018. He has completed his M. Tech. from VIT University, Vellore, Tamil Nadu, India and B. Tech. from RGPV, Bhopal, Madhya Pradesh, India. He has completed his PDF from UNIFOR, Brazil. He has published around 105 research papers along with book chapters including more than 25 papers in SCI indexed Journals with cumulative impact factor of above 100 to his credit. Additionally, he has authored and edited eleven books. Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/TPC member/Guest Editor and many more positions in various conferences and journals. His research interest include machine learning, deep learning for biomedical health informatics, educational technologies, and computer vision.
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.
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.
Content
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
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