Efficient private record linkage

Mohamed Yakout, Mikhail J. Atallah, Ahmed Elmagarmid

Research output: Chapter in Book/Report/Conference proceedingConference contribution

38 Citations (Scopus)

Abstract

Record linkage is the computation of the associations among records of multiple databases. It arises in contexts like the integration of such databases, online interactions and negotiations, and many others. The autonomous entities who wish to carry out the record matching computation are often reluctant to fully share their data. In such a framework where the entities are unwilling to share data with each other, the problem of carrying out the linkage computation without full data exchange has been called private record linkage. Previous private record linkage techniques have made use of a third party. We provide efficient techniques for private record linkage that improve on previous work in that (i) they make no use of a third party; (ii) they achieve much better performance than that of previous schemes in terms of execution time and quality of output (i.e., practically without false negatives and minimal false positives). Our software implementation provides experimental validation of our approach and the above claims.

Original languageEnglish
Title of host publicationProceedings - 25th IEEE International Conference on Data Engineering, ICDE 2009
Pages1283-1286
Number of pages4
DOIs
Publication statusPublished - 8 Jul 2009
Event25th IEEE International Conference on Data Engineering, ICDE 2009 - Shanghai, China
Duration: 29 Mar 20092 Apr 2009

Publication series

NameProceedings - International Conference on Data Engineering
ISSN (Print)1084-4627

Other

Other25th IEEE International Conference on Data Engineering, ICDE 2009
CountryChina
CityShanghai
Period29/3/092/4/09

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ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems

Cite this

Yakout, M., Atallah, M. J., & Elmagarmid, A. (2009). Efficient private record linkage. In Proceedings - 25th IEEE International Conference on Data Engineering, ICDE 2009 (pp. 1283-1286). [4812521] (Proceedings - International Conference on Data Engineering). https://doi.org/10.1109/ICDE.2009.221