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A survey of graph-modification techniques for privacy-preserving on networks
Faculty of Computer Science, Multimedia and Telecommunications, Internet Interdisciplinary Institute (IN3), Universitat Oberta de Catalunya, Barcelona, Spain.
Department of Information and Communications Engineering, Universitat Autònoma de Barcelona, Bellaterra, Spain.
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab (SAIL))ORCID iD: 0000-0002-0368-8037
2017 (English)In: Artificial Intelligence Review, ISSN 0269-2821, E-ISSN 1573-7462, Vol. 47, no 3, 341-366 p.Article in journal (Refereed) Published
Abstract [en]

Recently, a huge amount of social networks have been made publicly available. In parallel, several definitions and methods have been proposed to protect users’ privacy when publicly releasing these data. Some of them were picked out from relational dataset anonymization techniques, which are riper than network anonymization techniques. In this paper we summarize privacy-preserving techniques, focusing on graph-modification methods which alter graph’s structure and release the entire anonymous network. These methods allow researchers and third-parties to apply all graph-mining processes on anonymous data, from local to global knowledge extraction.

Place, publisher, year, edition, pages
Springer, 2017. Vol. 47, no 3, 341-366 p.
Keyword [en]
Privacy, k-Anonymity, Randomization, Social networks, Graphs
Research subject
Skövde Artificial Intelligence Lab (SAIL)
Identifiers
URN: urn:nbn:se:his:diva-13465DOI: 10.1007/s10462-016-9484-8ISI: 000394302100003ScopusID: 2-s2.0-84973106733OAI: oai:DiVA.org:his-13465DiVA: diva2:1086165
Available from: 2017-03-31 Created: 2017-03-31 Last updated: 2017-04-12

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CiteExportLink to record
Permanent link

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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
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