Logo des Repositoriums
 
Zeitschriftenartikel

Secure Algorithms for Biomedical Research in Public Clouds

Lade...
Vorschaubild

Volltext URI

Dokumententyp

Text/Journal Article

Zusatzinformation

Datum

2014

Zeitschriftentitel

ISSN der Zeitschrift

Bandtitel

Verlag

Gesellschaft für Informatik e.V., Fachgruppe PARS

Zusammenfassung

Algorithms from the biomedical domain have to face a rapid growth of biological data and therefore a rising demand for computing time. The predictive power of such algorithms is also further improving and becomes increasingly interesting for commercial applications. Cloud Computing – as an already established paradigm to elastically allocate computing resources on demand – offers flexible solutions to deal with the increasing request for compute power. However, security concerns remain when valuable research or business data are being processed in a Public Cloud. Herein, we describe – from the application and security perspective – three biomedical case studies from different domains: Patent annotation, cancer outcome prediction, and drug target prediction developed within the GeneCloud project. Our approach is to realize a data-centric security method to be able to compute on encrypted or blinded data in any non-trustworthy environment accessible by the user.

Beschreibung

Beck, Martin; Haupt, V. Joachim; Moennich, Jan; Roy, Janine; Jäkel, René; Schroeder, Michael; Isik, Zerrin (2014): Secure Algorithms for Biomedical Research in Public Clouds. PARS-Mitteilungen: Vol. 31, Nr. 1. Berlin: Gesellschaft für Informatik e.V., Fachgruppe PARS. PISSN: 0177-0454

Zitierform

DOI

Tags