A framework for encrypted computation on shared data
dc.contributor.author | Kasem-Madani, Saffija | |
dc.contributor.editor | Meier, Michael | |
dc.contributor.editor | Reinhardt, Delphine | |
dc.contributor.editor | Wendzel, Steffen | |
dc.date.accessioned | 2017-06-21T07:43:28Z | |
dc.date.available | 2017-06-21T07:43:28Z | |
dc.date.issued | 2016 | |
dc.description.abstract | In 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.isbn | 978-3-88579-650-3 | |
dc.identifier.pissn | 1617-5468 | |
dc.language.iso | en | |
dc.publisher | Gesellschaft für Informatik e.V. | |
dc.relation.ispartof | Sicherheit 2016 - Sicherheit, Schutz und Zuverlässigkeit | |
dc.relation.ispartofseries | Lecture Notes in Informatics (LNI) - Proceedings, Volume P-256 | |
dc.title | A framework for encrypted computation on shared data | en |
dc.type | Text/Conference Paper | |
gi.citation.endPage | 196 | |
gi.citation.publisherPlace | Bonn | |
gi.citation.startPage | 191 | |
gi.conference.date | 5.-7. April 2016 | |
gi.conference.location | Bonn |
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