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Cancelable Speaker Identification System Based on Optical-Like Encryption Algorithms

Safaa El-Gazar1, Walid El-Shafai2,3,*, Ghada El-Banby4, Hesham F. A. Hamed1, Gerges M. Salama1, Mohammed Abd-Elnaby5, Fathi E. Abd El-Samie2,6

1 Department of Electrical Engineering, Faculty of Engineering, Egyptian - Russian University, Cairo, Egypt
2 Department of Electronics and Electrical Communications Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt
3 Security Engineering Laboratory, Department of Computer Science, Prince Sultan University, Riyadh, 11586, Saudi Arabia
4 Department of Industrial Electronics and Control Engineering, Faculty of Electronic Engineering, Menoufia University, Menouf, 32952, Egypt
5 Department of Computer Engineering, College of Computers and Information Technology, Taif University, Taif, 21944, Saudi Arabia
6 Department of Information Technology, College of Computer and Information Sciences, Princess Nourah Bint Abdulrahman University, Riyadh, 84428, Saudi Arabia

* Corresponding Author: Walid El-Shafai. Email: email

Computer Systems Science and Engineering 2022, 43(1), 87-102. https://doi.org/10.32604/csse.2022.022722

Abstract

Biometric authentication is a rapidly growing trend that is gaining increasing attention in the last decades. It achieves safe access to systems using biometrics instead of the traditional passwords. The utilization of a biometric in its original format makes it usable only once. Therefore, a cancelable biometric template should be used, so that it can be replaced when it is attacked. Cancelable biometrics aims to enhance the security and privacy of biometric authentication. Digital encryption is an efficient technique to be used in order to generate cancelable biometric templates. In this paper, a highly-secure encryption algorithm is proposed to ensure secure biometric data in verification systems. The considered biometric in this paper is the speech signal. The speech signal is transformed into its spectrogram. Then, the spectrogram is encrypted using two cascaded optical encryption algorithms. The first algorithm is the Optical Scanning Holography (OSH) for its efficiency as an encryption tool. The OSH encrypted spectrogram is encrypted using Double Random Phase Encoding (DRPE) by implementing two Random Phase Masks (RPMs). After the two cascaded optical encryption algorithms, the cancelable template is obtained. The verification is implemented through correlation estimation between enrolled and test templates in their encrypted format. If the correlation value is larger than a threshold value, the user is authorized. The threshold value can be determined from the genuine and imposter correlation distribution curves as the midpoint between the two curves. The implementation of optical encryption is adopted using its software rather than the optical setup. The efficiency of the proposed cancelable biometric algorithm is illustrated by the simulation results. It can improve the biometric data security without deteriorating the recognition accuracy. Simulation results give close-to-zero values for the Equal Error Rate (EER) and close-to-one values for the Area under Receiver Operator Characteristic (AROC) curve.

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Cite This Article

APA Style
El-Gazar, S., El-Shafai, W., El-Banby, G., Hamed, H.F.A., Salama, G.M. et al. (2022). Cancelable speaker identification system based on optical-like encryption algorithms. Computer Systems Science and Engineering, 43(1), 87-102. https://doi.org/10.32604/csse.2022.022722
Vancouver Style
El-Gazar S, El-Shafai W, El-Banby G, Hamed HFA, Salama GM, Abd-Elnaby M, et al. Cancelable speaker identification system based on optical-like encryption algorithms. Comput Syst Sci Eng. 2022;43(1):87-102 https://doi.org/10.32604/csse.2022.022722
IEEE Style
S. El-Gazar et al., “Cancelable Speaker Identification System Based on Optical-Like Encryption Algorithms,” Comput. Syst. Sci. Eng., vol. 43, no. 1, pp. 87-102, 2022. https://doi.org/10.32604/csse.2022.022722



cc Copyright © 2022 The Author(s). Published by Tech Science Press.
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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