Measuring Data Quality When Applying Data Swapping and Perturbation

G. Canfora () and C. A. Visaggio ()
Additional contact information
G. Canfora: Università degli Studi del Sannio
C. A. Visaggio: Università degli Studi del Sannio

A chapter in Information Systems: People, Organizations, Institutions, and Technologies, 2009, pp 157-163 from Springer

Abstract: 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.

Keywords: Privacy Protection; Data Privacy; Privacy Enforcement; Privacy Preference; Trust Negotiation (search for similar items in EconPapers)
Date: 2009
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2148-2_19

Ordering information: This item can be ordered from
http://www.springer.com/9783790821482

DOI: 10.1007/978-3-7908-2148-2_19

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().