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Comparison and Analysis of System Designs for Privacy-Preserving Genome Sequences Search

Authors:
Yuki Yamada
Masato Oguchi

Keywords: Homomorphic Encryption, Genome Sequence, Secure Search, Privacy, Cloud Computing

Abstract:
Genome sequences search is useful, for example, in clinical applications where a care provider needs to select a treatment option for a patient based on the exact kind of cancer the patient might have. However, privacy protection for genome analysis is one of the most important issues in the area of medical genomics. In such a situation, only homomorphic encryption is a desirable technology to be used for this application because it is non-interactive. Privacy-preserving genome sequence search using homomorphic encryption has been a practical challenge because of the scalability issues driven by the depth of computations that need to be supported for privacy-preserving genome sequence search. Comparison and analysis of system designs for such a system are important for us to put them in practical use. Therefore, in this work, we build off of earlier researches for genome sequence search to design, then implement and compare each approach. We particularly focus on the differences in the main calculation time on the server and the data transfer overhead. Our results show that each design has different trade-offs and characteristics.

Pages: 78 to 83

Copyright: Copyright (c) IARIA, 2019

Publication date: October 27, 2019

Published in: conference

ISSN: 2162-2116

ISBN: 978-1-61208-746-7

Location: Nice, France

Dates: from October 27, 2019 to October 31, 2019