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Practical Personalized Genomics in the Encrypted Domain

Abstract : In this paper, we examine and propose a solution for the challenges of sharing of genome sequence data and of data querying on the genome sequence data on a cloud server in per-sonalized medicine scenarios. We develop a privacy-preserving, a secure and efficient solution for personalized medicine. The solution that we propose making use of stream cipher-based homomorphic transciphering in a cloud server, and to show the effectiveness of transciphering solution in the personalized medicine scenario. This paper also provides the comparative analysis of well-known existing homomorphic encryption solutions BGV and FV schemes combined with the FLIP stream cipher to demonstrate the efficiency and privacy of our solution.
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Contributor : Elyes Ben Hamida <>
Submitted on : Friday, April 6, 2018 - 4:37:59 PM
Last modification on : Monday, February 10, 2020 - 6:12:35 PM


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  • HAL Id : hal-01760797, version 1


Kalpana Singh, Renaud Sirdey, Sergiu Carpov. Practical Personalized Genomics in the Encrypted Domain. Third IEEE International Conference on Fog and Mobile Edge Computing (FMEC 2018) , Apr 2018, Barcelone, Spain. ⟨hal-01760797⟩



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