Privacy Threat Modeling for Emerging BiobankClouds
2014 (English)In: 5TH INTERNATIONAL CONFERENCE ON EMERGING UBIQUITOUS SYSTEMS AND PERVASIVE NETWORKS / THE 4TH INTERNATIONAL CONFERENCE ON CURRENT AND FUTURE TRENDS OF INFORMATION AND COMMUNICATION TECHNOLOGIES IN HEALTHCARE / AFFILIATED WORKSHOPS, 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 storage and analysis of genomic data. In order to cope with this huge amount of information, many biobanks are interested in cloud computing capabilities such as on-demand elasticity of computing power and storage capacity. There are several security and privacy requirements mandated by personal data protection legislation which hinder biobanks from migrating big data generated by the NGS machines. This paper describes the privacy requirements of platform-as-service BiobankClouds according to the European Data Protection Directive (DPD). It identifies several key privacy threats which leave BiobankClouds vulnerable to an attack. This study benefits health-care application designers in the requirement elicitation cycle when building privacy-preserving BiobankCloud platforms. (C) 2014 The Authors. Published by Elsevier B.V. This is an open access article under the CC BY-NC-ND license.
Place, publisher, year, edition, pages
2014. Vol. 37, 489-496 p.
privacy-preservation, data security, cloud computing, threat modeling, requirement analysis
Computer and Information Science
IdentifiersURN: urn:nbn:se:kth:diva-162023DOI: 10.1016/j.procs.2014.08.073ISI: 000349985800065ISBN: *****************OAI: oai:DiVA.org:kth-162023DiVA: diva2:798418
4th International Conference on Current and Future Trends of Information and Communication Technologies in Healthcare (ICTH), SEP 22-25, 2014, Halifax, CANADA
QC 201503262015-03-262015-03-202015-03-26Bibliographically approved