Assessing the trustworthiness of location data based on provenance
Proceedings of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems
BronzeGate: real-time transactional data obfuscation for GoldenGate
Proceedings of the 13th International Conference on Extending Database Technology
Privacy-preserving matching of spatial datasets with protection against background knowledge
Proceedings of the 18th SIGSPATIAL International Conference on Advances in Geographic Information Systems
Privacy-preserving record linkage
PSD'10 Proceedings of the 2010 international conference on Privacy in statistical databases
Information fusion in data privacy: A survey
Information Fusion
Efficient and Practical Approach for Private Record Linkage
Journal of Data and Information Quality (JDIQ)
Frequent grams based embedding for privacy preserving record linkage
Proceedings of the 21st ACM international conference on Information and knowledge management
Efficient privacy-aware record integration
Proceedings of the 16th International Conference on Extending Database Technology
A taxonomy of privacy-preserving record linkage techniques
Information Systems
An efficient two-party protocol for approximate matching in private record linkage
AusDM '11 Proceedings of the Ninth Australasian Data Mining Conference - Volume 121
A distributed framework for scaling Up LSH-based computations in privacy preserving record linkage
Proceedings of the 6th Balkan Conference in Informatics
Efficient two-party private blocking based on sorted nearest neighborhood clustering
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Mining frequent patterns with differential privacy
Proceedings of the VLDB Endowment
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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.