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• W2783296048 abstract "To facilitate large-scale biomedical research projects, it requires sharing genomic and clinical data collected by disparate organizations among themselves. Due to the enormous size of the data, the task of the storage and computation on the shared data can be delegated to third party cloud infrastructures, equipped with large storage and computation resources. But the whole process of sharing, managing, and computation on this data should be done in a way that prevents the potential loss, theft or misuse of the data as genomic data are very sensitive by nature. In this article, we provide an overview of the existing secure solutions for outsourcing genomic data to the cloud and executing one of the most important operations on the genomic data: count query." @default.
• W2783296048 created "2018-01-26" @default.
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• W2783296048 date "2018-03-01" @default.
• W2783296048 modified "2023-09-25" @default.
• W2783296048 title "Secure Count Query on Encrypted Genomic Data: A Survey" @default.
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• W2783296048 doi "https://doi.org/10.1109/mic.2018.112102323" @default.
• W2783296048 hasPublicationYear "2018" @default.
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