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Secure Big-data Analytics for Emerging Healthcare in 5G and Beyond
Concepts, paradigms, and solutions
Edited by Pronaya Bhattacharya, Vivek Kumar Prasad, D. Jude Hemanth, Pushan Kumar Dutta, Atul Kathait, Daniela Dănciulescu
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 also addresses 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.
About the Editors
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.
Publication Year: 2024
Pages: 422
ISBN-13: 978-1-83953-905-3
Format: HBK