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A framework for encrypted computation on shared data

dc.contributor.authorKasem-Madani, Saffija
dc.contributor.editorMeier, Michael
dc.contributor.editorReinhardt, Delphine
dc.contributor.editorWendzel, Steffen
dc.date.accessioned2017-06-21T07:43:28Z
dc.date.available2017-06-21T07:43:28Z
dc.date.issued2016
dc.description.abstractIn times of surveillance and data retention, sharing information often comes together with privacy concerns. However, information sharing has benefits, e.g. sharing log files for including the knowledge gained from a broader view for security analysis, or sharing healthcare data for the use in studies for improving medical treatments. We present an information sharing framework design that meets both privacy and utility requirements of the information sharing parties. We utilize homomorphic encryption and show how it can be used for offline data analysis.en
dc.identifier.isbn978-3-88579-650-3
dc.identifier.pissn1617-5468
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofSicherheit 2016 - Sicherheit, Schutz und Zuverlässigkeit
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-256
dc.titleA framework for encrypted computation on shared dataen
dc.typeText/Conference Paper
gi.citation.endPage196
gi.citation.publisherPlaceBonn
gi.citation.startPage191
gi.conference.date5.-7. April 2016
gi.conference.locationBonn

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