Efficient Determination of Equivalence for Encrypted Data
This addresses a specific problem in healthcare for securely linking medical records, but it is incremental as it builds on existing methods.
The paper tackles the problem of securely matching individual identities to link medical records across systems by developing an efficient solution for equivalence based on existing work for the greater-than relation, demonstrating its effectiveness on data and compliance with regulatory risk criteria.
Secure computation of equivalence has fundamental application in many different areas, including healthcare. We study this problem in the context of matching an individual identity to link medical records across systems. We develop an efficient solution for equivalence based on existing work that can evaluate the greater than relation. We implement the approach and demonstrate its effectiveness on data, as well as demonstrate how it meets regulatory criteria for risk.