Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
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 (engelsk)Inngår i: 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, s. 70-85Konferansepaper, Publicerat paper (Fagfellevurdert)
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.

sted, utgiver, år, opplag, sider
Gewerbestrasse 11, 6330 Cham, Switzerland: Springer Nature , 2017. Vol. 10436, s. 70-85
Serie
Lecture Notes in Computer Science, ISSN 0302-9743 ; 10436
Emneord [en]
Privacy. SSE Database. Inference Attacks.
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-33180DOI: 10.1007/978-3-319-67816-0Scopus ID: 2-s2.0-85030152876ISBN: 978-3-319-67816-0 (digital)OAI: oai:DiVA.org:ri-33180DiVA, id: diva2:1176658
Konferanse
ESORICS 2017 International Workshops: DPM 2017
Prosjekter
PaaSword
Merknad

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

Tilgjengelig fra: 2018-01-23 Laget: 2018-01-23 Sist oppdatert: 2019-01-29bibliografisk kontrollert

Open Access i DiVA

fulltext(684 kB)66 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 684 kBChecksum SHA-512
f1e99ca4d511b2bd35f5a65f14a7bb277c3d92615a80cb55e1d2a9472270c203bb698418f0ff8a2ae3241b28df4fc1d94e42708680fa121e715993908b927f68
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstScopushttps://link.springer.com/book/10.1007/978-3-319-67816-0

Søk i DiVA

Av forfatter/redaktør
Andersson, TobiasGehrmann, Christian
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 66 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 557 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf