An Ensemble Approach for Privacy-Preserving Record Linkage

An Ensemble Approach for Privacy-Preserving Record Linkage
  IJETT-book-cover           
  
© 2021 by IJETT Journal
Volume-69 Issue-9
Year of Publication : 2021
Authors : Vijay Maruti Shelake, Narendra M. Shekokar
DOI :  10.14445/22315381/IJETT-V69I9P218

How to Cite?

Vijay Maruti Shelake, Narendra M. Shekokar, "An Ensemble Approach for Privacy-Preserving Record Linkage," International Journal of Engineering Trends and Technology, vol. 69, no. 9, pp. 146-152, 2021. Crossref, https://doi.org/10.14445/22315381/IJETT-V69I9P218

Abstract
In today`s world, it is essential to collect and identify the information of the same individuals from multiple databases in a secure manner for record matching, linkage and integration. Thus, the privacy-preserving record linkage (PPRL) refers to identifying and comparing the same person`s records across multiple databases in secure manner. In this paper, the various PPRL techniques are discussed. Among the different PPRL techniques, the Bloom filter encoding is suitable for secure and approximate record matching. However, most of the hardened Bloom filter encoding techniques provide privacy while compromising linkage accuracy. Hence, the ensemble approach is suggested to provide improved linkage accuracy than existing basic, balanced, and cellular automata Bloom filter-based PPRL.

Keywords
Data integration, matching, privacy, linkage, Bloom filter, similarity measures.

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