COVID-19 health data analysis and personal data preserving: A homomorphic privacy enforcement approach

COVID-19 data analysis and prediction from patient data repository collected from hospitals and health organizations. Users’ credentials and personal information are at risk; it could be an unrecoverable issue worldwide. A Homomorphic identification of possible breaches could be more appropriate for...

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Detalles Bibliográficos
Autores principales: Dhasarathan, Chandramohan, Hasan, Mohammad Kamrul, Islam, Shayla, Abdullah, Salwani, Mokhtar, Umi Asma, Javed, Abdul Rehman, Goundar, Sam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747234/
https://www.ncbi.nlm.nih.gov/pubmed/36531214
http://dx.doi.org/10.1016/j.comcom.2022.12.004

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9747234/
https://www.ncbi.nlm.nih.gov/pubmed/36531214
http://dx.doi.org/10.1016/j.comcom.2022.12.004

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