Faculty of Automation, Computer Sciences, Electronics and Electrical Engineering, Dunarea de Jos University of Galati, 2 Științei Street, Galati, Romania
Email: georgian.crihan@ugal.ro (G.C); marian.craciun@ugal.ro (M.C.); luminita.dumitriu@ugal.ro (L.D.)
*Corresponding author
Manuscript received February 10, 2024; revised March 12, 2024; accepted May 1, 2024; published May 28, 2024.
Abstract—In the current security environment, where the dependence on computer systems is increasing, and the technological field is constantly changing, the threats and vulnerabilities typology to networks is also growing, so a key task is to ensure the network’s security access. To address these challenges, we propose an efficient hybrid network authentication mechanism that combines and integrates actual access control components based on cryptography and biometrics. These elements play a vital role in the field of information security and aim to resolve the shortcomings of conventional authentication methods and enhance the security level of sensitive data, especially in the government and military domains. In this paper, we present a mechanism that comprises biometric fingerprint recognition and card authentication based on Arduino modules with the Paillier homomorphic encryption algorithm, a reliable solution that can facilitate secure access to computer systems and networks and minimize the risk of unauthorized access. A statistical assessment is performed using several parameters such as histogram analysis, information entropy, Mean Square Error (MSE), peak signal-to-noise ratio (PSNR), correlation coefficient, and average encryption time to verify the efficiency and robustness of the encryption algorithm.
Keywords—biometrics, microcontroller, cryptographic algorithms, homomorphic encryption
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Cite: Georgiana Crihan, Marian Crăciun, and Luminița Dumitriu, "An Efficient Hybrid Authentication Mechanism Based on Biometric Fingerprint Recognition and Homomorphic Encryption," International Journal of Modeling and Optimization, vol. 14, no. 2, pp. 69-75, 2024.
Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
