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Published in:
2006 | OriginalPaper | Chapter
Privacy-Preserving Data Set Union
Authors : Alberto Maria Segre, Andrew Wildenberg, Veronica Vieland, Ying Zhang
Published in: Privacy in Statistical Databases
Publisher: Springer Berlin Heidelberg
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This paper describes a cryptographic protocol for merging two or more data sets without divulging those identifying records; technically, the protocol computes a
blind set-theoretic union
. Applications for this protocol arise, for example, in data analysis for biomedical application areas, where identifying fields (
e.g.,
patient names) are protected by governmental privacy regulations or by institutional research board policies.