Privacy-Preserving Data Set Union
A. Segre, A. Wildenberg, V. Vieland and Y. Zhang,
Proceedings of the 2006 Conference on Privacy in Statistical Databases
Abstract
This paper describes a cryptographic protocol for merging twodata sets
based on identifiers without divulging those identifier 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.
Keywords:
privacy-preserving data mining, blind database union.
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