NDLI: Cluster-Specific Information Loss Measures in Data Privacy: A Review

Content Provider	IEEE Xplore Digital Library
Author	Torra, V. Ladra, S.
Copyright Year	2008
Description	Author affiliation: Campus UAB, IIIA-CSIC, Bellaterra (Torra, V.)
Abstract	Data protection mechanisms need to find a trade-off between information loss and disclosure risk. To this end, information loss and disclosure risk measures have been developed. Due to the fact that when data is published it is usual to ignore which kind of analyses a user will pursue with the data, generic information loss measures are used to analyse the impact of the perturbation method onto the data. Such generic information loss measures are defined in terms of a few general-enough statistics. Nevertheless, a more fine-grained analysis is needed for particular data uses. In this paper we provide the reader with a review of a few results on cluster-specific information loss measures. More specifically, we consider the case of using fuzzy clustering to the perturbated data.
Starting Page	994
Ending Page	999
File Size	300553
Page Count	6
File Format	PDF
ISBN	9780769531021
DOI	10.1109/ARES.2008.87
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-03-04
Publisher Place	Spain
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Availability Data privacy Data security data mining Loss measurement Statistics Information analysis Privacy Databases Information security Particle measurements clustering Protection
Content Type	Text
Resource Type	Article

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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