PRESAGE: PRivacy-preserving gEnetic testing via SoftwAre Guard Extension

BMC Medical Genomics
Feng ChenShuang Wang

Abstract

Advances in DNA sequencing technologies have prompted a wide range of genomic applications to improve healthcare and facilitate biomedical research. However, privacy and security concerns have emerged as a challenge for utilizing cloud computing to handle sensitive genomic data. We present one of the first implementations of Software Guard Extension (SGX) based securely outsourced genetic testing framework, which leverages multiple cryptographic protocols and minimal perfect hash scheme to enable efficient and secure data storage and computation outsourcing. We compared the performance of the proposed PRESAGE framework with the state-of-the-art homomorphic encryption scheme, as well as the plaintext implementation. The experimental results demonstrated significant performance over the homomorphic encryption methods and a small computational overhead in comparison to plaintext implementation. The proposed PRESAGE provides an alternative solution for secure and efficient genomic data outsourcing in an untrusted cloud by using a hybrid framework that combines secure hardware and multiple crypto protocols.

References

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Citations

Apr 5, 2019·Current Opinion in HIV and AIDS·Sanjay R MehtaSusan Little
Feb 6, 2020·JMIR Medical Informatics·Mengchun GongZhouguang Hui
Feb 14, 2019·Briefings in Bioinformatics·Abukari Mohammed Yakubu, Yi-Ping Phoebe Chen
Dec 22, 2017·NPJ Genomic Medicine·Shuang WangLucila Ohno-Machado
Aug 16, 2019·Journal of Medical Internet Research·Michael JonesNoah Zimmerman

Related Concepts

Cloud Computing
Genetic Screening Method
Computer Programs and Programming
Data Security
Sequence Determinations, DNA
Outsourcing
Biomedical Research
Genome
Computer Software
Healthcare Services

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