Proposed method of protection of fixed length samples through using Paillier cryptosystem
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https://doi.org/10.54939/1859-1043.j.mst.81.2022.148-155Keywords:
Privacy; Cryptosystem; Homomorphic; Euclidean distances; Paillier cryptosystem; Fingerprint.Abstract
Privacy of databases is currently a very concern, there are many scandals of using customer information for personal gain caused by many different technology companies that own large databases of information about customers. The problem is how the user can provide a database that meets the algorithm used in the authentication model, giving accurate results without revealing private information or personal data. Theoretical research on homomorphic cryptosystems and public encryption can solve problems of user privacy security. The paper presents the basic issues of the homomorphic algorithm and the Paillier cryptosystem; computational similarity using the Euclidean distances for samples of fixed length. Sample experimental results coded by Paillier cryptosystem then check the correct calculation by calculating, comparing the length with a defined threshold to remove the inappropriate samples and decide the combination of the system. From there, propose a method of protection of fixed-length samples.
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