his.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Transparency and Disclosure Risk in Data Privacy
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0002-0368-8037
2015 (English)In: Proceedings of the Workshops of the EDBT/ICDT 2015 Joint Conference (EDBT/ICDT) / [ed] Peter M. Fischer, Gustavo Alonso, Marcelo Arenas, Floris Geerts, 2015, 246- p.Conference paper (Other academic)
Abstract [en]

k-Anonymity and differential privacy can be considered examples of Boolean definitions of disclosure risk. In contrast, record linkage and uniqueness are examples of quantitative measures of risk. Record linkage is a powerful approach because it can model different types of scenarios in which an adversary attacks a protected database with some information and background knowledge. Transparency holds in data privacy when data is published together with details on their processing. This includes the data protection method used and its parameters. Intruders can use this information to improve their attacks. Specific record linkage algorithms can be defined to take into account this information, and to define more accurate disclosure risk measures. Machine learning and optimization techniques also permits us to increase the  effectiveness of record linkage algorithms. This talk will be focused on disclosure risk measures based on record linkage. We will describe how we can improve the performance of the algorithms under the transparency principle, as well as using machine learning and optimization techniques.

Place, publisher, year, edition, pages
2015. 246- p.
Series
CEUR Workshop Proceedings, ISSN 1613-0073 ; 1330
National Category
Computer Systems
Research subject
Technology
Identifiers
URN: urn:nbn:se:his:diva-10939OAI: oai:DiVA.org:his-10939DiVA: diva2:811983
Conference
Workshops of the EDBT/ICDT 2015 Joint Conference (EDBT/ICDT), Brussels, Belgium, March 27th, 2015
Available from: 2015-05-13 Created: 2015-05-13 Last updated: 2015-09-28Bibliographically approved

Open Access in DiVA

No full text

Other links

Abstract

Search in DiVA

By author/editor
Torra, Vicenc
By organisation
School of InformaticsThe Informatics Research Centre
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar

Total: 223 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf