Cancelable Speaker Identification System Based on Optical-Like Encryption Algorithms

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

Feature extraction and learning approaches for cancellable biometrics: A survey

“…El‐Gazar et al. [75] presented a cancellable speaker recognition system in which the feature data are encrypted through two cascading optical encryption algorithms, namely optical scanning holography and random phase masking. In this system, the feature data are obtained by converting the speech signal into a spectrogram image to which the Fourier transform is applied.…”

Innovative Hetero-Associative Memory Encoder (HAMTE) for Palmprint Template Protection

“…Other cancelable biometric systems are presented in [7,8]. The authors of [7] provided a cancelable method for speech recognition based on encryption algorithms.…”

“…Other cancelable biometric systems are presented in [7,8]. The authors of [7] provided a cancelable method for speech recognition based on encryption algorithms. The user speech signal is converted into a spectrogram encrypted using optical encryption algorithms.…”

“…s i;j ¼ X y l¼0 p i;l  k l;j (7) In case of system's database is compromised, the attacker has only the values of matrix S. The attacker may randomly guess the values of the input key and apply the following Equation to get the values of the input Palmprint data (P).…”

Beneficios de las tecnologías biométricas para la autenticación de usuarios: una revisión sistemática

“…Aumento de seguridad del control de acceso de usuarios. (Zhou & Ren, 2018), (Altuwayjiri et al, 2022), (Albalawi et al, 2022), (El-El-Sofany, 2022), (El-Gazar et al, 2022), (Bharath & Radhakrishna Rao, 2022), (Zhang et al, 2022), (Park & Kim, 2022), (Jaswal et al, 2021), (Laka et al, 2021), (Chin et al, 2021), (Parkinson et al, 2021), (Zhu & Cao, 2021), (Kovalan et al, 2021), (Kausar, 2020), (Wu et al, 2018) 16 2 Ahorro de esfuerzo y tiempo al no tener que recordar una contraseña. (Kao & Chueh, 2023), (Albalawi et al, 2022), (El-El-Sofany, 2022), (Zhang et al, 2022), (Laka et al, 2021), (Parkinson et al, 2021), (Gehrmann et al, 2019), (Lee et al, 2019), (Arun & Sudhakar, 2019) 9 3…”