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Optical Ciphering Scheme for Cancellable Speaker Identification System

Walid El‐Shafai, Marwa A. Elsayed, Mohsen Rashwan, Moawad I. Dessouky, Adel S. El‐Fishawy, Naglaa F. Soliman, Amel Ali Alhussan, Fathi E. Abd El‐Samie

2022Computer Systems Science and Engineering30 citationsDOIOpen Access PDF

Abstract

Most current security and authentication systems are based on personal biometrics. The security problem is a major issue in the field of biometric systems. This is due to the use in databases of the original biometrics. Then biometrics will forever be lost if these databases are attacked. Protecting privacy is the most important goal of cancelable biometrics. In order to protect privacy, therefore, cancelable biometrics should be non-invertible in such a way that no information can be inverted from the cancelable biometric templates stored in personal identification/verification databases. One methodology to achieve non-invertibility is the employment of non-invertible transforms. This work suggests an encryption process for cancellable speaker identification using a hybrid encryption system. This system includes the 3D Jigsaw transforms and Fractional Fourier Transform (FrFT). The proposed scheme is compared with the optical Double Random Phase Encoding (DRPE) encryption process. The evaluation of simulation results of cancellable biometrics shows that the algorithm proposed is secure, authoritative, and feasible. The encryption and cancelability effects are good and reveal good performance. Also, it introduces recommended security and robustness levels for its utilization for achieving efficient cancellable biometrics systems.

Topics & Concepts

BiometricsEncryptionComputer scienceIdentification (biology)Robustness (evolution)Computer securityAuthentication (law)Invertible matrixEncoding (memory)Speech recognitionArtificial intelligenceMathematicsBiologyBotanyPure mathematicsChemistryBiochemistryGeneBiometric Identification and SecurityChaos-based Image/Signal EncryptionAdvanced Steganography and Watermarking Techniques