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Searchable Encrypted Relational Databases:Risks and Countermeasures
RISE - Research Institutes of Sweden, ICT, SICS.
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0002-6229-2809
Lund university, Sweden.ORCID iD: 0000-0001-8003-200x
2017 (English)In: Data Privacy Management, Cryptocurrencies and Blockchain Technology: ESORICS 2017 International Workshops, DPM 2017 and CBT 2017, Oslo, Norway, September 14-15, 2017, Proceedings / [ed] Joaquin Garcia-Alfaro et al., Gewerbestrasse 11, 6330 Cham, Switzerland: Springer Nature , 2017, Vol. 10436, p. 70-85Conference paper, Published paper (Refereed)
Abstract [en]

We point out the risks of protecting relational databases viaSearchable Symmetric Encryption (SSE) schemes by proposing an infer-ence attack exploiting the structural properties of relational databases.We show that record-injection attacks mounted on relational databaseshave worse consequences than their file-injection counterparts on un-structured databases. Moreover, we discuss some techniques to reducethe effectiveness of inference attacks exploiting the access pattern leak-age existing in SSE schemes. To the best of our knowledge, this is thefirst work that investigates the security of relational databases protectedby SSE schemes.

Place, publisher, year, edition, pages
Gewerbestrasse 11, 6330 Cham, Switzerland: Springer Nature , 2017. Vol. 10436, p. 70-85
Series
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10436
Keywords [en]
Privacy. SSE Database. Inference Attacks.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:ri:diva-33180DOI: 10.1007/978-3-319-67816-0Scopus ID: 2-s2.0-85030152876ISBN: 978-3-319-67816-0 (electronic)OAI: oai:DiVA.org:ri-33180DiVA, id: diva2:1176658
Conference
ESORICS 2017 International Workshops: DPM 2017
Projects
PaaSword
Note

Publication venue: the 12th Data Privacy and Management (DPM) workshop co-located with ESORICS 2017

Available from: 2018-01-23 Created: 2018-01-23 Last updated: 2019-01-29Bibliographically approved

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fulltext(684 kB)538 downloads
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Publisher's full textScopushttps://link.springer.com/book/10.1007/978-3-319-67816-0

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Andersson, TobiasGehrmann, Christian

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