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Data Privacy

In: Privacy and Identity Management for Life

Author

Listed:
  • Michele Bezzi

    (SAP Labs France)

  • Sabrina Capitani di Vimercati

    (Dip. di Tecnologie dell’Informazione)

  • Sara Foresti

    (Dip. di Tecnologie dell’Informazione)

  • Giovanni Livraga

    (Dip. di Tecnologie dell’Informazione)

  • Stefano Paraboschi

    (Università degli Studi di Bergamo, DIIMM)

  • Pierangela Samarati

    (Dip. di Tecnologie dell’Informazione)

Abstract

In today’s globally interconnected society, a huge amount of data about individuals is collected, processed, and disseminated. Data collections often contain sensitive personally identifiable information that need to be adequately protected against improper disclosure. In this chapter, we describe novel informationtheoretical privacy metrics, necessary to measure the privacy degree guaranteed by a published dataset. We then illustrate privacy protection techniques, based on fragmentation, that can be used to protect sensitive data and sensitive associations among them.

Suggested Citation

  • Michele Bezzi & Sabrina Capitani di Vimercati & Sara Foresti & Giovanni Livraga & Stefano Paraboschi & Pierangela Samarati, 2011. "Data Privacy," Springer Books, in: Jan Camenisch & Simone Fischer-Hübner & Kai Rannenberg (ed.), Privacy and Identity Management for Life, chapter 0, pages 157-179, Springer.
    • Handle: RePEc:spr:sprchp:978-3-642-20317-6_8
    DOI: 10.1007/978-3-642-20317-6_8
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