Healthcare 5.0 with Fuzzy Logic
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Edited by:
Ganesh Gopal Devarajan
, Daniel Arockiam , Senthil Murugan Nagarajan and Rashmi Agrawal
About this book
The book was inspired by the urgent need for advanced security methods that can keep pace with the increasingly complex nature of modern healthcare systems. In the age of medical networks, incorporating fuzzy logic provides a flexible, adaptive approach to security, enhancing traditional methods of safeguarding patient data, medical devices, and sensitive health records. It presents fuzzy logic as a tool for providing dynamic, intelligent security solutions, exploring its application in risk assessment, anomaly detection, and real-time decision-making processes. By addressing both theoretical frameworks and practical implementations, the book offers comprehensive strategies for establishing resilient, secure healthcare environments. Ultimately, the book is essential reading for healthcare professionals, IT specialists and researchers, and healthcare industries. It provides them with the knowledge to fortify next-generation healthcare systems against cyber threats, ensuring safety and confidence in digital health innovations.
Author / Editor information
Dr. Ganesh Gopal Devarajan currently working as a professor and research coordinator in the department of Computer Science and Engineering, SRM Institute of Science and Technology, India. He has received his PhD degree in Computer Science and Engineering from VIT University, Vellore, India. He has more than 18 years of Research and Teaching Experience in the domain of Computer Science and Engineering. His research interest includes Machine Learning, Deep Learning, Cyber Physical Systems, Healthcare and VANET. As part of his professional career, he has around 60+ publications in international journals and conferences. He has successfully completed the 28 special issues by serving as guest editor for reputed journals. He is an Editor-In-Chief for Book Series," ADVANCES IN CYBER SECURITY for Wiley – Scrivener. He is currently supervising 5 M.Tech students and guiding 8 PhD students. He has contributed his ideas and shared his research experience as Technical Programme Committee (TPC) member, Programme Committee member and Session Chair member in premium international conferences. He has given key note addresses in many international conferences He has acted as accreditation consultant for ABET, BRICS and QS world ranking for several institutions across India. He is a reviewer in some of the Q1 Journals. He has involved in several professional activities and as a member of professional committees like IEEE (Senior Member), ACM and CSI.
Dr. A. Daniel is working as Associate Professor in Amity University Madhya Pradesh. He has 14 years of experience in Academic field. He has 40 publications on Scopus and 11 papers in SCIE. He has published 13 patents including 2 grants. He published 5 Scopus indexed Edited books also. He has membership in various professional bodies.
Dr. Senthil Murugan NAGARAJAN is doing Postdoctoral Researcher in Data Science at University of Luxembourg. He has received his PhD degree in Information Technolgy from VIT University, Vellore, India. His rsearch areas of interest were Sports Analytics, Medical Data Analysis, Natural Language Processing. He has published 60+ papers in reputed jouranls and conferences.
Dr Rashmi is PhD and UGC-NET with 22 years of experience in teaching and research, working as Professor in Department of Computer Applications, Manav Rachna International Institute of Research and Studies, Faridabad, India. Life member of Computer Society of India and senior member of IEEE. Book series editor of CRC press and Wiley. Associate Editor in Array Journal of Elsevier and Journal of Engineering and Applied Sciences. Published 100 papers in Journals and conferences, authored 20 chapters in books and authored/edited 17 books. Contributed as keynote speaker in IEEE international conference, expert lecture in ATAL FDPs, session chair of various international conferences.
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Frontmatter
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Preface
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Contents
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List of Authors
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1 Introduction to Healthcare 5.0: Evolution and Key Technologies
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2 Fuzzy Logic and Al: Enhancing Decision-Making in Healthcare Systems
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3 Fuzzy-Based Efficient Healthcare Data Collection and Analysis
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4 Fuzzy Logic System Implementation in Health Data Management Frameworks
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5 AI and Fuzzy Logic for Threat Detection in Healthcare Networks
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6 Fuzzy-Based Trust Management for Preventing Attacks in Internet of Medical Things
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7 Fuzzy Logic in Data Encryption for Healthcare Systems
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8 Securing AI and Machine Learning Models in Healthcare with Fuzzy
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9 A Fuzzy Modelling Approach for Risk-Based Access Control
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10 Privacy and Trust in eHealth: A Fuzzy Linguistic Solution
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11 Firewall Best Practices for Securing Smart Healthcare
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12 Secure Cloud Storage for Medical IoT Data
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13 Adaptive Multi-layer Authentication for Secure Internet of Medical Things (IoMT)
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14 Fuzzy Multifactor Authentication in the Internet of Healthcare Things
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15 Fuzzy-Based Multidimensional Risk Assessment Model for the Healthcare 5.0
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16 Cyber Threats in Healthcare 5.0: Countermeasures and Solutions
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17 Case Studies on Securing Healthcare 5.0 with Fuzzy
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18 Future Trends in Healthcare 5.0: Cybersecurity and Emerging Technologies
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19 Fuzzy Logic in Data Aggregation for IoT-Based Health Sector
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20 Utilizing an Advanced Computational Intelligence with Fuzzy Logic Techniques for the Early Detection and Diagnosis of Diabetic Retinopathy
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Index
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Mathematical Methods in the Digital Age
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Manufacturer information:
Walter de Gruyter GmbH
Genthiner Straße 13
10785 Berlin
productsafety@degruyterbrill.com