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Big Data Privacy and Anonymization
University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre. (Skövde Artificial Intelligence Lab)ORCID iD: 0000-0002-0368-8037
Department of Information and Communication Engineering, Universitat Autònoma de Barcelona, Catalonia, Spain.
2016 (English)In: Privacy and Identity Management. Facing up to Next Steps: 11th IFIP WG 9.2, 9.5, 9.6/11.7, 11.4, 11.6/SIG 9.2.2 International Summer School, Karlstad, Sweden, August 21-26, 2016, Revised Selected Papers / [ed] Anja Lehmann, Diane Whitehouse, Simone Fischer-Hübner, Lothar Fritsch, Charles Raab, Springer, 2016, p. 15-26Chapter in book (Refereed)
Abstract [en]

Data privacy has been studied in the area of statistics (statistical disclosure control) and computer science (privacy preserving data mining and privacy enhancing technologies) for at least 40 years. In this period models, measures, methods, and technologies have been developed to effectively protect the disclosure of sensitive information.

The coming of big data, with large volumes of data, dynamic and streaming data, poses new challenges to the field. In this paper we will review some of these challenges and propose some lines of research in the field.

Place, publisher, year, edition, pages
Springer, 2016. p. 15-26
Series
IFIP Advances in Information and Communication Technology, ISSN 1868-4238, E-ISSN 1868-422X ; 498
Keywords [en]
sensitive information, data privacy, data mining algorithm, user privacy, differential privacy
National Category
Computer Sciences
Research subject
Skövde Artificial Intelligence Lab (SAIL)
Identifiers
URN: urn:nbn:se:his:diva-17743DOI: 10.1007/978-3-319-55783-0_2ISI: 000460572100002Scopus ID: 2-s2.0-85017524604ISBN: 978-3-319-55782-3 (print)ISBN: 978-3-319-55783-0 (electronic)OAI: oai:DiVA.org:his-17743DiVA, id: diva2:1355997
Note

Also part of the IFIP AICT Tutorials book sub series (Tutorials, volume 498)

Available from: 2019-09-30 Created: 2019-09-30 Last updated: 2019-10-02Bibliographically approved

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fulltext(205 kB)46 downloads
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Torra, Vicenç

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
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More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
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  • nn-NB
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  • Other locale
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Output format
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