Secure big-data analytics for emerging healthcare in 5G and beyond
Institution of Engineering and Technology (Verlag)
978-1-83953-905-3 (ISBN)
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Healthcare systems today are increasingly reliant on data gathered from multiple hospital systems, patient records or IoT devices. As more information is gathered, there is a need to ensure the data is kept and used securely. This edited book looks at secure big data analytics for healthcare and how the wealth of information is disseminated through open wireless channels to provide seamless coverage so that people can access and analyse the results obtained and intelligently manage and respond to a patient's needs.
The editors cover current and emerging frameworks, architectures, and solutions that address the requirements of secure big data analytics for the healthcare industry. The book will cover the challenges of deploying security-based healthcare analytics for massive BDA (big data analytics) applications, through smart optimized network communication infrastructures, dense connectivity, and AI-driven models.
Topics include big data analytics, trustworthy data sharing, security challenges and privacy preserving techniques, authentication and access control schemes, deep learning models, risk modelling, and blockchain integration. The book provides a great reference for researchers in academia, network professionals, healthcare industry professionals, and researchers working towards emerging secure BDA solutions in 5G and beyond networks.
Pronaya Bhattacharya is an associate professor of computer science and engineering and the Research and Innovation Cell at Amity University Kolkata, India. He has co-authored more than 140 research papers. His research interests include healthcare analytics, networking, blockchain, and the IoT. He has been appointed as a technical committee member and the session chair at various international conferences. Vivek Kumar Prasad is an assistant professor in computer science and engineering at the Institute of Technology, Nirma University, India. He has written 40 journal papers and 7 book chapters. He has been actively involved in the organization of various workshops in the cloud computing domain. His research interests include distributed computing, cloud computing, machine learning, and artificial intelligence. D. Jude Hemanth is a professor at Karunya Institute of Technology & Sciences, Coimbatore, India and Visiting Professor in Faculty of Electrical Engineering and Information Technology, University of Oradea, Romania. He has co-authored over 230 conference and journal papers and contributed to 37 edited books. He holds professional membership with IEEE Technical Committee on Neural Networks (IEEE Computational Intelligence Society) and IEEE Technical Committee on Soft Computing (IEEE Systems, Man and Cybernetics Society) and ACM. Pushan Kumar Dutta is an assistant professor in Electronics and Communication Engineering in Amity University Kolkata, India. He received the Young Faculty in Engineering award in 2018 from Venus International awards. His research interests include artificial intelligence, robotics, data science, computer hardware and electronic devices. He has published more than 40 journal articles, conference papers and book chapters. Atul Kathait is assistant director-IQAC in Amity University, India. His interests are Bioinformatics and Healthcare Data Analytics. He has 15+ years of experience in research, teaching and administration. He has organized several workshops on bioinformatics application in healthcare. He was the recipient of Young Scientist Awards from Indian Academy of Environmental Sciences, 2018. Daniela Dănciulescu is a professor in the Department of Informatics at Universitatea Din Craiova, Romănia. She has authored/co-authored 8 course books for students and over 80 papers in peer-reviewed journals. Her specialisms include artificial intelligence and informatics.
Chapter 1: Navigating the Future: Secure Big-Data Analytics in Healthcare's 5G Era
Chapter 2: Big Data-Driven Medical Image Processing Technologies and Applications
Chapter 3: Challenges in Big Data Analytics Monitoring
Chapter 4: Security Challenges in Big Data Analytics
Chapter 5: Secure data sharing and collaboration in healthcare analytics
Chapter 6: Enhancing Healthcare Data Security in the Era of 5G and Big Data Analytics
Chapter 7: Privacy-Preserving Techniques for Big-Data Analytics in Healthcare
Chapter 8: Enabling Trustworthy Data Sharing and Collaborative Insights in Healthcare Analytics
Chapter 9: Communication aspects in 5G-assisted Big Data: A performance review against 4G-LTE frameworks
Chapter 10: Authentication and Access Control schemes in 5G-Based Healthcare Systems
Chapter 11: Indexing-Based Approach in Document-Centric Big Data
Chapter 12: The AI-Mental Health Dialogue: An Investigation of Their Relationship
Chapter 13: Research on the Application of Bayesian Deep Learning in Medical Big Data
Chapter 14: Causal Inference in Healthcare: Effective Evaluation of Clinical Programs and Other Applications
Chapter 15: Clinical risk modelling using medical big data: a machine learning approach
Chapter 16: Unlocking Potential of Artificial Intelligence and Blockchain Integration for Preserving Privacy and Medical Data: High-Fidelity Data Sharing and Healthcare Analytics Lensing Legal Aspects
Chapter 17: The Nuances of Legal Deviations in Modern Computing: A Relook into the Privacy and Data Protection Laws in India and Beyond
Chapter 18: Charting the Course: Secure Big-Data Analytics and 5G in Healthcare's Transformative Journey
| Erscheint lt. Verlag | 1.12.2024 |
|---|---|
| Reihe/Serie | Healthcare Technologies |
| Verlagsort | Stevenage |
| Sprache | englisch |
| Maße | 156 x 234 mm |
| Themenwelt | Informatik ► Datenbanken ► Data Warehouse / Data Mining |
| Informatik ► Netzwerke ► Sicherheit / Firewall | |
| Informatik ► Theorie / Studium ► Kryptologie | |
| ISBN-10 | 1-83953-905-4 / 1839539054 |
| ISBN-13 | 978-1-83953-905-3 / 9781839539053 |
| Zustand | Neuware |
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