Layered privacy preserving approach to private record matching

—Record matching represent similar records based on unique identifiers is tedious; this problem is known as record matching problem. Existing solutions to this problem are sanitization techniques and cryptographic techniques. In this paper, a new hybrid technique is used that combines these two approaches; but, operates over a new technique called secured authentication model which help the user's to trade off between privacy, accuracy, and cost. The secured authentication model called Trust based authentication model, which is used to classify the user and allow only the authenticated user for record matching. This will make the system be more secured. In this approach, the sanitized data is given to the blocking phase to remove the unwanted records in privacy preserving manner. Also prove that the participants of this protocol only learn about their results. This method is cheaper, and more accurate compared to cryptographic, and sanitization techniques, even when the privacy requirements are also high.