An LSH-Based Blocking Approach with a Homomorphic Matching Technique for Privacy-Preserving Record Linkage

Abstract

We present a Λ-fold Redundant Blocking Framework, that relies on the Locality-Sensitive Hashing technique for identifying candidate record pairs, which have undergone an anonymization transformation. In this context, we demonstrate the usage and evaluate the performance of a variety of families of hash functions used for blocking. We illustrate that the performance attained is highly correlated to the distance-preserving properties of the anonymization format used. The parameters, of the blocking scheme, are optimally selected so that we achieve the highest possible accuracy in the least possible running time. We also introduce an SMC-based protocol in order to compare the formulated record pairs homomorphically, without running the risk of breaching the privacy of the underlying records.

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