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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Applications to Information Management: How to Measure Loss of Privacy
verfasst von : Hung T. Nguyen, Vladik Kreinovich, Berlin Wu, Gang Xiang
Erschienen in: Computing Statistics under Interval and Fuzzy Uncertainty
Verlag: Springer Berlin Heidelberg
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In this chapter, we use the experience of measuring a degree of mismatch between probability models, p-boxes, etc., described in Chapter 30, to measure loss of privacy. Some of our privacy-related results first appeared in [58].
Formulation and Analysis of the Problem, and the Corresponding Results
Measuring
loss
of
privacy
is
important
. Privacy means, in particular, that we do not disclose all information about ourselves. If some of the originally undisclosed information is disclosed, some privacy is lost. To compare different privacy protection schemes, we must be able to gauge the resulting loss of privacy.