Pattern-Mining Based Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage-Reference-Cited by-同舟云学术

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Pattern-Mining Based Cryptanalysis of Bloom Filters for Privacy-Preserving Record Linkage

Published:2018 Issue: Volume: Page:530-542
ISSN:0302-9743
Container-title:Advances in Knowledge Discovery and Data Mining
language:
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Author:

Christen Peter,Vidanage Anushka,Ranbaduge Thilina,Schnell Rainer

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-319-93040-4_42

Reference20 articles.

1. Agrawal, R., Srikant, R.: Fast algorithms for mining association rules. In: VLDB, Santiago de Chile (1994)

2. Bloom, B.: Space/time trade-offs in hash coding with allowable errors. Commun. ACM 13(7), 422–426 (1970)

3. Boyd, J.H., Randall, S.M., Ferrante, A.M.: Application of privacy-preserving techniques in operational record linkage centres. In: Gkoulalas-Divanis, A., Loukides, G. (eds.) Medical Data Privacy Handbook, pp. 267–287. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-23633-9_11

4. Christen, P.: Data Matching - Concepts and Techniques for Record Linkage, Entity Resolution, and Duplicate Detection. Springer, Heidelberg (2012). https://doi.org/10.1007/978-3-642-31164-2

5. Lecture Notes in Computer Science (Lecture Notes in Artificial Intelligence);P Christen,2017

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