PROPOSE EUCLIDEAN DISTANCES CODECTION METHOD  TO GUARANTEE USER PRIVACY IN FINGERPRINT RECOGNITION

Trương Phi Hồ; Nguyễn Thị Hồng Hà; Đặng Xuân Bảo; Phạm Duy Trung

doi:10.34238/tnu-jst.6000

PROPOSE EUCLIDEAN DISTANCES CODECTION METHOD TO GUARANTEE USER PRIVACY IN FINGERPRINT RECOGNITION

About this article

Received: 17/05/22 Revised: 24/06/22 Published: 24/06/22

Authors

1. Truong Phi Ho , Telecommunications University
2. Nguyen Thi Hong Ha, Academy of Cryptography Techniques
3. Dang Xuan Bao, Academy of Cryptography Techniques
4. Pham Duy Trung, Academy of Cryptography Techniques

Abstract

As technology develops, password authentication contains many security risks and is outdated. In the current authentication methods, the fingerprint authentication method is based on the identification of features, thereby comparing and identifying an individual. One of the methods for fingerprint recognition is using Euclidean distance. The problem is how when the user can provide a database that meets the algorithm used in the authentication model, giving accurate results without revealing information about the Euclidean distance when system reference.The author's solution uses the Paillier public cryptosystem system; encrypt the Euclidean distance for the authentication sample before entering the system for comparison; Experimental results encode the sample by Paillier coding, then check the correctness by calculating, comparing the results with the usual calculation. From there, the conclusion of the proposed algorithm is made.

Keywords

Privacy; Cryptosystem; Homomorphic; Euclidean distances; Paillier cryptosystem; Fingerprint

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DOI: https://doi.org/10.34238/tnu-jst.6000

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