Secure Big-data Analytics for Emerging Healthcare in 5G and Beyond

Atul Kathait, Daniela Danciulescu, Pronaya Bhattacharya, D. Jude Hemanth, Vivek Kumar Prasad, Pushan Kumar Dutta

ISBN 10: 1839539054 / ISBN 13: 9781839539053

Editore: Institution of Engineering and Technology, GB, 2024

Riguardo questo articolo

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.

Codice articolo LU-9781839539053

Dati bibliografici

• Titolo: Secure Big-data Analytics for Emerging Healthcare in 5G and Beyond
• Editore: Institution of Engineering and Technology, GB
• Data di pubblicazione: 2024
• Lingua: Inglese
• ISBN 10: 1839539054
• ISBN 13: 9781839539053
• Rilegatura: Hardback
• Condizione: New
• Dimensioni: 15,6 L x 2,39 A x 23,39 P centimetri 15,6 centimetri di larghezza per 2,39 centimetri di altezza per 23,39 centimetri di profondità

Descrizione articolo

Riassunto

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.