Privacy-preserving Disease Susceptibility Test with Shamir’s Secret Sharing

Guyu Fan, Manoranjan Mohanty

2017

Abstract

Recent advances in genomics have facilitated the development of personalized medicine, in which a patient's susceptibility to certain diseases and her compatibility with certain medications can be determined from her genetic makeup. Although this technology has many advantages, privacy of the patient is one of the major concerns due to the sensitivity of genomic data. In this paper, we propose a privacy-preserving scheme for computing a patient's susceptibility to a particular disease. Our scheme stores genomic data in hidden form and performs the disease susceptibility test in the hidden domain. To hide the data, we use Shamir's (l, n) secret sharing, which can be homomorphic to a xed number of multiplications and unlimited additions. Using Shamir's secret sharing, we create n shares and store the shares at n datacenters. The datacenters perform the susceptibility test on their shares and send the result (which is also hidden) to a hospital. Finally, the hospital obtains the secret result of the test by accessing at least k datacenters, where k = 2l - 1. In comparison to other works, our approach is more practical as it minimizes the involvement of the patient and incurs less overhead.

Paper Citation

in Harvard Style

Fan G. and Mohanty M. (2017). Privacy-preserving Disease Susceptibility Test with Shamir’s Secret Sharing . In Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017) ISBN 978-989-758-259-2, pages 525-533. DOI: 10.5220/0006467105250533

in Bibtex Style

@conference{secrypt17,
author={Guyu Fan and Manoranjan Mohanty},
title={Privacy-preserving Disease Susceptibility Test with Shamir’s Secret Sharing},
booktitle={Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)},
year={2017},
pages={525-533},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006467105250533},
isbn={978-989-758-259-2},
}

in EndNote Style

TY - CONF
JO - Proceedings of the 14th International Joint Conference on e-Business and Telecommunications - Volume 6: SECRYPT, (ICETE 2017)
TI - Privacy-preserving Disease Susceptibility Test with Shamir’s Secret Sharing
SN - 978-989-758-259-2
AU - Fan G.
AU - Mohanty M.
PY - 2017
SP - 525
EP - 533
DO - 10.5220/0006467105250533