Cargando…
Secure searching of biomarkers through hybrid homomorphic encryption scheme
BACKGROUND: As genome sequencing technology develops rapidly, there has lately been an increasing need to keep genomic data secure even when stored in the cloud and still used for research. We are interested in designing a protocol for the secure outsourcing matching problem on encrypted data. METHO...
Autores principales: | Kim, Miran, Song, Yongsoo, Cheon, Jung Hee |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5547457/ https://www.ncbi.nlm.nih.gov/pubmed/28786366 http://dx.doi.org/10.1186/s12920-017-0280-3 |
Ejemplares similares
-
Logistic regression model training based on the approximate homomorphic encryption
por: Kim, Andrey, et al.
Publicado: (2018) -
Secure Logistic Regression Based on Homomorphic Encryption: Design and Evaluation
por: Kim, Miran, et al.
Publicado: (2018) -
Private genome analysis through homomorphic encryption
por: Kim, Miran, et al.
Publicado: (2015) -
Secure tumor classification by shallow neural network using homomorphic encryption
por: Hong, Seungwan, et al.
Publicado: (2022) -
A secure SNP panel scheme using homomorphically encrypted K-mers without SNP calling on the user side
por: Park, Sungjoon, et al.
Publicado: (2019)