A security framework for population-scale genomics analysis

Biobanks store genomic material from identifiable individuals. Recently many population-based studies have started sequencing genomic data from biobank samples and cross-linking the genomic data with clinical data, with the goal of discovering new insights into disease and clinical treatments. Howev...

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Vydané v:2015 International Conference on High Performance Computing and Simulation (HPCS) s. 106 - 114
Hlavní autori: Gholami, Ali, Dowling, Jim, Laure, Erwin
Médium: Konferenčný príspevok.. Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 01.07.2015
Predmet:
Access Control
Authentication
Bioinformatics
Clinical treatments
Cloud Computing
Cloud computing environments
Computational modeling
Computer information security
Data handling
Data privacy
Design and implementations
Design engineering
Digital storage
Genes
Genomics
Genomics analysis
Handling
Jurisdiction
Mathematical models
Medical services
Population statistics
Privacy
Privacy legislation
Security
Security frameworks
Stores
ISBN:1467378127, 9781467378123
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Abstract Biobanks store genomic material from identifiable individuals. Recently many population-based studies have started sequencing genomic data from biobank samples and cross-linking the genomic data with clinical data, with the goal of discovering new insights into disease and clinical treatments. However, the use of genomic data for research has far-reaching implications for privacy and the relations between individuals and society. In some jurisdictions, primarily in Europe, new laws are being or have been introduced to legislate for the protection of sensitive data relating to individuals, and biobank-specific laws have even been designed to legislate for the handling of genomic data and the clear definition of roles and responsibilities for the owners and processors of genomic data. This paper considers the security questions raised by these developments. We introduce a new threat model that enables the design of cloud-based systems for handling genomic data according to privacy legislation. We also describe the design and implementation of a security framework using our threat model for BiobankCloud, a platform that supports the secure storage and processing of genomic data in cloud computing environments.
AbstractList Biobanks store genomic material from identifiable individuals. Recently many population-based studies have started sequencing genomic data from biobank samples and cross-linking the genomic data with clinical data, with the goal of discovering new insights into disease and clinical treatments. However, the use of genomic data for research has far-reaching implications for privacy and the relations between individuals and society. In some jurisdictions, primarily in Europe, new laws are being or have been introduced to legislate for the protection of sensitive data relating to individuals, and biobank-specific laws have even been designed to legislate for the handling of genomic data and the clear definition of roles and responsibilities for the owners and processors of genomic data. This paper considers the security questions raised by these developments. We introduce a new threat model that enables the design of cloud-based systems for handling genomic data according to privacy legislation. We also describe the design and implementation of a security framework using our threat model for BiobankCloud, a platform that supports the secure storage and processing of genomic data in cloud computing environments.
Author Laure, Erwin
Gholami, Ali
Dowling, Jim
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  givenname: Jim
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  fullname: Laure, Erwin
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Snippet Biobanks store genomic material from identifiable individuals. Recently many population-based studies have started sequencing genomic data from biobank samples...
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SubjectTerms Access Control
Authentication
Bioinformatics
Clinical treatments
Cloud Computing
Cloud computing environments
Computational modeling
Computer information security
Data handling
Data privacy
Design and implementations
Design engineering
Digital storage
Genes
Genomics
Genomics analysis
Handling
Jurisdiction
Mathematical models
Medical services
Population statistics
Privacy
Privacy legislation
Security
Security frameworks
Stores
Title A security framework for population-scale genomics analysis
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