CEA and CNG, France
Genome Sequencing, Personalized Medicine, Privacy, Homomorphic Encryption.
Data and Application Security and Privacy
Information and Systems Security
In this paper, we analyze and propose a solution for the challenges that come with personalized genomic and,
most importantly, of performing queries on sequenced dataset sitting on a cloud server. This work provides
scenarios for its application in personalized genomic medicine, and tests homomorphic encryption technique
to assist in improving the strength of their privacy at non-prohibitive performance cost. By experimental
testing using HElib, we make a first step towards performing practical computation over the relevant portions
of the genomic dataset of an individual for a first round of practical diagnosis rules.