TY - GEN
T1 - Efficient private record linkage
AU - Yakout, Mohamed
AU - Atallah, Mikhail J.
AU - Elmagarmid, Ahmed
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=67649644357&partnerID=8YFLogxK
U2 - 10.1109/ICDE.2009.221
DO - 10.1109/ICDE.2009.221
M3 - Conference contribution
AN - SCOPUS:67649644357
SN - 9780769535456
T3 - Proceedings - International Conference on Data Engineering
SP - 1283
EP - 1286
BT - Proceedings - 25th IEEE International Conference on Data Engineering, ICDE 2009
T2 - 25th IEEE International Conference on Data Engineering, ICDE 2009
Y2 - 29 March 2009 through 2 April 2009
ER -