Constructive Privacy for Shared Genetic Data

Fatima-zahra Boujdad, Mario Sudholt

Abstract

The need for the sharing of genetic data, for instance, in genome-wide association studies is incessantly growing. In parallel, serious privacy concerns rise from a multi-party access to genetic information. Several techniques, such as encryption, have been proposed as solutions for the privacy-preserving sharing of genomes. However, existing programming means do not support guarantees for privacy properties and the performance optimization of genetic applications involving shared data. We propose two contributions in this context. First, we present new cloud-based architectures for cloud-based genetic applications that are motivated by the needs of geneticians. Second, we propose a model and implementation for the composition of watermarking with encryption, fragmentation, and client-side computations for the secure and privacy-preserving sharing of genetic data in the cloud.

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Paper Citation


in Harvard Style

Boujdad F. and Sudholt M. (2018). Constructive Privacy for Shared Genetic Data.In Proceedings of the 8th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-295-0, pages 489-496. DOI: 10.5220/0006765804890496


in Bibtex Style

@conference{closer18,
author={Fatima-zahra Boujdad and Mario Sudholt},
title={Constructive Privacy for Shared Genetic Data},
booktitle={Proceedings of the 8th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,},
year={2018},
pages={489-496},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006765804890496},
isbn={978-989-758-295-0},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 8th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER,
TI - Constructive Privacy for Shared Genetic Data
SN - 978-989-758-295-0
AU - Boujdad F.
AU - Sudholt M.
PY - 2018
SP - 489
EP - 496
DO - 10.5220/0006765804890496