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Securus: From Confidentiality and Access Requirements to Data Outsourcing Solutions

Köhler, Jens 1; Jünemann, Konrad 1
1 Steinbuch Centre for Computing (SCC), Karlsruher Institut für Technologie (KIT)


To preserve data confidentiality in database outsourcing scenarios, various techniques have been proposed that preserve a certain degree of confidentiality while still allowing to efficiently execute certain queries. Typically, several of those techniques have to be combined to achieve a certain degree of confidentiality. However, finding an appropriate combination is not a trivial task, as expert knowledge is required and interdependencies between the techniques exist. Securus, an approach we previously proposed, addresses this problem. Securus allows users to model their requirements regarding the information in the outsourced dataset that has to be protected. Furthermore, queries that have to be efficiently executable on the outsourced data can be specified. Based on these requirements, Securus uses Integer Linear Programming (ILP) to find a suitable combination of confidentiality enhancing techniques and generates a software adapter. This software adapter transparently applies the techniques to fulfill the specified requirements and can be used to seamlessly outsource and query the data. In this paper, we present an outline of Securus and extend our previous work by highlighting the differences to other approaches in the field. ... mehr

Zitationen: 1
Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Kompetenzzentrum für angewandte Sicherheitstechnologie (KASTEL)
Steinbuch Centre for Computing (SCC)
Universität Karlsruhe (TH) – Zentrale Einrichtungen (Zentrale Einrichtungen)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2014
Sprache Englisch
Identifikator ISBN: 978-3-642-55136-9
ISSN: 1868-422X
KITopen-ID: 1000041125
Erschienen in Privacy and Identity Management for Emerging Services and Technologies : 8th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6 International Summer School, Nijmegen, The Netherlands, June 17-21, 2013. [Konferenz]. Ed.: M. Hansen
Verlag Springer Verlag
Seiten 139-149
Serie IFIP International Federation for Information Processing ; 421
Nachgewiesen in Scopus
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