Privacy-Preserving Data Set Union

نویسندگان

  • Alberto Maria Segre
  • Andrew Wildenberg
  • Veronica J. Vieland
  • Ying Zhang
چکیده

This paper describes a cryptographic protocol for merging two data 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.

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تاریخ انتشار 2006