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Securus: From Confidentiality and Access Requirements to Data Outsourcing Solutions

Köhler, Jens; Jünemann, Konrad

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 S ... mehr

Zugehörige Institution(en) am KIT Institut für Telematik (TM)
Steinbuch Centre for Computing (SCC)
Publikationstyp Proceedingsbeitrag
Jahr 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, Berlin
Seiten 139-149
Serie IFIP International Federation for Information Processing ; 421
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