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Hardening Bloom Filter PPRL by modifying identifier encodings

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DLAW02 - Data linkage: techniques, challenges and applications

Co-author: Christian Borgs (University of Duisburg Essen)

Using appropriate parameter settings, Bloom filter approaches show linkage results comparable to linkage based on unencrypted identifiers. Furthermore, this approach has been used in real-world settings with data sets containing up to 100 Million records. By the application of suitable blocking strategies, linking can be done in reasonable time. However, Bloom filters have been subject of cryptographic attacks. Previous research has shown that the straight application of Bloom filters has a nonzero re-identification risk. We will present new results on recently developed techniques to defy all known attacks on PPRL Bloom filters. These computationally simple algorithms modify the identifiers by different cryptographic diffusion techniques. The presentation will demonstrate these new algorithms and show their performance concerning precision, recall in large databases. 

This talk is part of the Isaac Newton Institute Seminar Series series.

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