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Title: A Survey of Privacy on Data Integration

Citation Type: Miscellaneous

Publication Year: 2015

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Abstract: This survey is an integrated view of other surveys on privacy preserving for data integration. First, we review the database context and challenges and research questions. Second, we formu- late the privacy problems for schema matching and data matching. Next, we introduce the elements of privacy models. Then, we sum- marize the existing privacy techniques and the analysis (proofs) of privacy guarantees. Finally, we describe the privacy frameworks and their applications.

Url: https://infoscience.epfl.ch/record/217894/files/privacy_main_infoscience.pdf

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Authors: Thanh, Do Son

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Data Collections: IPUMS NHGIS

Topics: Population Data Science

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