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Measuring Data Quality When Applying Data Swapping and Perturbation

In: Information Systems: People, Organizations, Institutions, and Technologies

Author

Listed:
  • G. Canfora

    (Università degli Studi del Sannio)

  • C. A. Visaggio

    (Università degli Studi del Sannio)

Abstract

Preserving data privacy is becoming an urgent issue to cope with. Among different technologies, the techniques of perturbation and data swapping offer many advantages, even if preliminary investigations suggest that they could deteriorate the usefulness of data. We defined a set of metrics for evaluating this drawback and carried out a case study in order to understand to which extent it is possible to enforce data security, and thus protect sensitive information, without degrading usefulness of data under unacceptable thresholds.

Suggested Citation

  • G. Canfora & C. A. Visaggio, 2009. "Measuring Data Quality When Applying Data Swapping and Perturbation," Springer Books, in: Alessandro D'Atri & Domenico Saccà (ed.), Information Systems: People, Organizations, Institutions, and Technologies, pages 157-163, Springer.
    • Handle: RePEc:spr:sprchp:978-3-7908-2148-2_19
    DOI: 10.1007/978-3-7908-2148-2_19
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