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Towards Knowledge Intensive Data Privacy

  • Conference paper
Data Privacy Management and Autonomous Spontaneous Security (DPM 2010, SETOP 2010)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 6514))

Abstract

Privacy preserving data mining tools only use in a limited way information and knowledge other than the data base being protected. In this paper we plead on the need of knowledge intensive tools in data privacy. More especifically, we discuss the role of knowledge related tools in data protection and in disclosure risk assessment.

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Author information

Authors and Affiliations

  1. IIIA, Institut d’Investigació en Intel·ligència Artificial, CSIC, Consejo Superior de Investigaciones Científicas, Campus UAB s/n, 08193, Bellaterra, Catalonia, Spain

    Vicenç Torra

Authors
  1. Vicenç Torra
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Editor information

Editors and Affiliations

  1. IT/TELECOM Bretagne, Campus de Rennes, 2 Rue de la Châtaigneraie, 35512, Cesson Sévigné, Cedex, France

    Joaquin Garcia-Alfaro

  2. IIIA-CSIC, Campus UAB, 08193, Bellaterra, Spain

    Guillermo Navarro-Arribas

  3. IT/TELECOM SudParis, 9 Rue Charles Fourier, 91011, Evry Cedex, France

    Ana Cavalli

  4. IT/TELECOM ParisTech, 46 Rue Barrault, 75634, Paris Cedex 13, France

    Jean Leneutre

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Torra, V. (2011). Towards Knowledge Intensive Data Privacy. In: Garcia-Alfaro, J., Navarro-Arribas, G., Cavalli, A., Leneutre, J. (eds) Data Privacy Management and Autonomous Spontaneous Security. DPM SETOP 2010 2010. Lecture Notes in Computer Science, vol 6514. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19348-4_1

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  • DOI: https://doi.org/10.1007/978-3-642-19348-4_1

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19347-7

  • Online ISBN: 978-3-642-19348-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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