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Secure Big-Data Analytics for Emerging Healthcare in 5g and Beyond: Concepts, Paradigms, and Solutions

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Secure Big-Data Analytics for Emerging Healthcare in 5g and Beyond: Concepts, Paradigms, and Solutions Secure Big-Data Analytics for Emerging Healthcare in 5g and Beyond: Concepts, Paradigms, and Solutions

出版社:Institution of Engineering & Technology
出版日期:2024-12-03
語言:英文   規格:精裝 / 300頁 / 普通級/ 初版
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圖書名稱:Secure Big-Data Analytics for Emerging Healthcare in 5g and Beyond: Concepts, Paradigms, and Solutions

內容簡介

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.

 

詳細資料

  • ISBN:9781839539053
  • 規格:精裝 / 300頁 / 普通級 / 初版
  • 出版地:美國
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