A Review of Similarity Matching Over Encrypted Data

In this digital world, we have gradually shifted to all kinds of digital transactions. Due to the increasing number of various kinds of data formats or languages, it is quite difficult to accurately match data from different databases in a secure manner. Secure record linkage is the most prominent method for matching the data used in most of the industry now for maintaining security and privacy during similarity matching of encrypted records. Among different secure record linkage techniques, Blockchain is the recent technology useful for maintaining data privacy for similarity matching. Also, the demanded Bloom filter technique can be very helpful for storage, encryption and inline combination with Blockchain. However, the similarity matching over encrypted data can be cumbersome and lead to lesser linkage accuracy. In this review, the similarity matching for encrypted data has been discussed and analyzed.