Reference : Enclave-Based Privacy-Preserving Alignment of Raw Genomic Information
Scientific congresses, symposiums and conference proceedings : Unpublished conference
Engineering, computing & technology : Computer science
http://hdl.handle.net/10993/34058
Enclave-Based Privacy-Preserving Alignment of Raw Genomic Information
English
Volp, Marcus mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Decouchant, Jérémie mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Lambert, Christoph mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Fernandes, Maria mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Verissimo, Paulo mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Oct-2017
6
Yes
International
SysTEX 2017
from 29th to 31st October 2017
[en] information- flow ; SGX-enclaves ; DNA ; alignment ; privacy
[en] Recent breakthroughs in genomic sequencing led to an enormous
increase of DNA sampling rates, which in turn favored
the use of clouds to e ciently process huge amounts of genomic
data. However, while allowing possible achievements
in personalized medicine and related areas, cloud-based processing
of genomic information also entails signi cant privacy
risks, asking for increased protection. In this paper,
we focus on the rst, but also most data-intensive, processing
step of the genomics information processing pipeline: the
alignment of raw genomic data samples (called reads) to a
synthetic human reference genome. Even though privacypreserving
alignment solutions (e.g., based on homomorphic
encryption) have been proposed, their slow performance encourages
alternatives based on trusted execution environments,
such as Intel SGX, to speed up secure alignment.
Such alternatives have to deal with data structures whose
size by far exceeds secure enclave memory, requiring the
alignment code to reach out into untrusted memory. We
highlight how sensitive genomic information can be leaked
when those enclave-external alignment data structures are
accessed, and suggest countermeasures to prevent privacy
breaches. The overhead of these countermeasures indicate
that the competitiveness of a privacy-preserving enclavebased
alignment has yet to be precisely evaluated.
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > Critical and Extreme Security and Dependability Research Group (CritiX)
Researchers ; Students
http://hdl.handle.net/10993/34058
10.1145/3152701.3152707
FnR ; FNR8149128 > Paulo Esteves-Veríssimo > IISD > Strategic Rtnd Program On Information Infrastructure Security And Dependability > 01/01/2015 > 31/12/2019 > 2014

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