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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...
| Autores principales: | , , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Elsevier B.V.
2023
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| Materias: | |
| 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 |