Privacy Threat Modeling for Emerging BiobankClouds
2014 (English)In: Procedia Computer Science, ISSN 1877-0509, Vol. 37, 489-496 p.Article in journal (Refereed) Published
There is an increased amount of data produced by next generation sequencing (NGS) machines which demand scalable storageand analysis of genomic data. In order to cope with this huge amount of information, many biobanks are interested in cloudcomputing capabilities such as on-demand elasticity of computing power and storage capacity. There are several security andprivacy requirements mandated by personal data protection legislation which hinder biobanks from migrating big data generatedby the NGS machines. This paper describes the privacy requirements of platform-as-service BiobankClouds according to theEuropean Data Protection Directive (DPD). It identifies several key privacy threats which leave BiobankClouds vulnerable to anattack. This study benefits health-care application designers in the requirement elicitation cycle when building privacy-preservingBiobankCloud platforms.
Place, publisher, year, edition, pages
2014. Vol. 37, 489-496 p.
Data protection biobanking
Research subject Administrative Law
IdentifiersURN: urn:nbn:se:uu:diva-234836DOI: 10.1016/j.procs.2014.08.073OAI: oai:DiVA.org:uu-234836DiVA: diva2:757947