jse.11.4.13818 Private Record Matching for Unstructured Data Using Hybrid Approach S. RAMA KRISHNAN Journal on Software Engineering 2230–7168 11 4 24 29 10.26634/jse.11.4.13818 Privacy Technologies, Scalability, Similarity Measure, Binning, Two Party Protocol Record Matching is the task of identifying records which are present across different databases. Some approximate techniques should be available to match the records if unique identifiers are not present. The record matching consists of mainly two approaches, such as sanitization approach and cryptographic approach. The sanitization technique mainly relies on methods, such as K-anonymization and random noise addition. The cryptographic technique uses Secure Multiparty Computation (SMC). It will provide accurate results, but the cost involved will be very high. The hybrid technique combines both the sanitization and cryptographic approaches. The major advantages of combining these approaches are it uses effective decision rule that matches the input values. Based on this, the privacy provided will be high. But the cost involved will be very high and is not effective. Hence the proposed method uses the two party protocols which involve record matching only between the data parties. There will be no trusted third party involved and the secure matching is done by using Binning method. April - June 2016 Copyright © 2016 i-manager publications. All rights reserved. i-manager Publications http://www.imanagerpublications.com/Article.aspx?ArticleId=13818