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Title: Fragments and Loose Associations: Respecting Privacy in Data Publishing

Citation Type: Journal Article

Publication Year: 2010

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Abstract: We propose a modeling of the problem of privacy-compliantdata publishing that captures confidentiality constraints onone side and visibility requirements on the other side. Confidentiality constraints express the fact that some attributes, or associations among them, are sensitive and cannot be released. Visibility requirements express requests for views over data that should be provided. We propose a solution based on data fragmentation to split sensitive associations while ensuring visibility. In addition, we show how sensitive associations broken by fragmentation can be released in a sanitized form as loose associations formed in a way to guarantee a specified degree of privacy.

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Authors: De Capitani di Vimercati, Sabrina; Samarati, Pierangela; Foresti, Sara; Paraboschi, Stefano; Jajodia, Sushil

Periodical (Full): Proceedings of the VLDB Endowment

Issue: 1

Volume: 3

Pages: 1-12

Data Collections: IPUMS USA

Topics: Methodology and Data Collection

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