Scalable Secure Privacy-Preserving Record Linkage (PPRL) Methods Using Cloud-based Infrastructure
Introduction Bloom Filters (BFs) are a scalable solution for probabilistic privacy-preserving record linkage but BFs can be compromised. Yao’s garbled circuits (GCs) can perform secure multi-party computation to compute the similarity of two BFs without a trusted third party. The major drawback of u...
Main Authors: | Toan Ong, Ibrahim Lazrig, Indrajit Ray, Indrakshi Ray, Michael Kahn |
---|---|
Format: | Article |
Language: | English |
Published: |
Swansea University
2018-08-01
|
Series: | International Journal of Population Data Science |
Online Access: | https://ijpds.org/article/view/638 |
Similar Items
-
Overcoming the Impasse 2: Assessing the Quality of Recent Australian Applications of a Privacy-Preserving Record Linkage Method (PPRL-BLOOM)
by: Sean Randall, et al.
Published: (2020-12-01) -
Evaluating PPRL Vs Clear Text Linkage with Real-World Data
by: Michael Jarrett, et al.
Published: (2020-12-01) -
Privacy preserved incremental record linkage
by: Shahidul Islam Khan, et al.
Published: (2022-11-01) -
Semantic-based Privacy-preserving Record Linkage.
by: Yang Lu
Published: (2022-08-01) -
An Evaluation Framework for Privacy-Preserving Record Linkage
by: Dinusha Vatsalan, et al.
Published: (2014-06-01)