HAL will be down for maintenance from Friday, June 10 at 4pm through Monday, June 13 at 9am. More information
Skip to Main content Skip to Navigation
Conference papers

Constructive Privacy for Shared Genetic Data

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.
Complete list of metadata

Cited literature [18 references]  Display  Hide  Download

Contributor : Fatima-Zahra Boujdad Connect in order to contact the contributor
Submitted on : Tuesday, February 6, 2018 - 7:34:03 PM
Last modification on : Wednesday, April 27, 2022 - 4:16:26 AM
Long-term archiving on: : Friday, May 25, 2018 - 10:26:12 PM


Files produced by the author(s)



Fatima-Zahra Boujdad, Mario Südholt. Constructive Privacy for Shared Genetic Data. CLOSER 2018 : 8th International Conference on Cloud Computing and Services Science, Mar 2018, Funchal, Madeira, Portugal. pp.1-8, ⟨10.5220/0006765804890496⟩. ⟨hal-01692620v2⟩



Record views


Files downloads