最近,生物识别系统广泛且普遍地用于认证和验证应用。安全问题以及生物识别验证过程对特定生物识别的依赖是生物识别系统面临的主要挑战。安全问题的产生是由于存储服务器中原始生物识别技术的利用。因此,如果存储的生物特征受到任何攻击,它们将被无限期地错过。因此,必须通过维护和存储这些模板来保护存储的原始生物识别信息,使其免受服务器的利用。因此,需要设计一种可取消的生物识别系统(CBRS),这是生物识别验证和认证领域的一个有前途的保护趋势。 CBRS 基于生物特征数据或其特征到不同排列的转换。在本文中,介绍了一种基于光学 PTFT(相位截断傅立叶变换)非对称加密算法的新型 CBRS。在所提出的算法中,输出平面和傅里叶平面中的两种不同的相位分布被维持为解密密钥,因此,加密密钥将不会用于解密过程。这带来的优点是两个加密密钥可以用作公共秘密密钥来加密不同的生物特征图像。因此,与之前相关的光学加密技术(例如光学扫描全息术(OSH)和双随机相位编码(DRPE)等对称技术)相比,所建议的PTFT密码系统是一种非对称加密/解密技术。所提出的PTFT非对称加密算法在安全应用中也具有出色的实用性能。 所提出的光学PTFT非对称加密算法的主要贡献之一是,它通过其相位截断非线性运算的巨大特征消除了光学OSH和DRPE对称加密算法的线性特征。随后,这会产生具有两个公钥的加密生物特征模板,并且经过身份验证的用户可以利用两个私钥检索原始生物特征模板,从而实现所存储的生物特征的高安全性和可撤销性。为了确认所建议的光学加密算法用于开发安全 CBRS 的有效性,检查和分析了面部、耳朵、掌纹、指纹和虹膜图像的各种生物特征数据集。在建议的算法与光学 OSH 和 DRPE 加密算法之间进行了广泛的比较分析。绩效质量评估的实验结果确保了所建议的 CBRS 可靠、稳健且现实。它具有出色的安全性和可取消性,即使在存在噪声的情况下也能展现出色的可取消生物特征识别性能。此外,进行的实验表明,建议的 CBRS 保证平均 FRR(错误拒绝率)为 0.0012,EER(等错误率)为 0.0019,FAR(错误接受率)为 0.0030,平均 AROC(接收器下方的区域)操作特性)为 0.9996。
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Optical PTFT Asymmetric Cryptosystem-Based Secure and Efficient Cancelable Biometric Recognition System
Recently, biometric systems are extensively and commonly utilized for authentication and verification applications. The security issue and the dependence on a specific biometric for the biometric verification process are the main challenges confronted in biometric systems. The security issue comes due to the exploitation of the original biometrics in stored servers. Therefore, if any attacks have been introduced to the stored biometrics, they will be missed indefinitely. Consequently, the stored original biometrics must be secured through maintaining and storing these templates away from exploitation in their servers. So, there is a need for designing a cancelable biometric recognition system (CBRS) that is a promising protection trend in biometric verification and authentication fields. The CBRS is based on the conversion of biometric data or its features to a different arrangement. In this article, a novel CBRS based on the suggested optical PTFT (Phase Truncated Fourier Transform) asymmetric encryption algorithm is introduced. In the proposed algorithm, two different distributions of phases in the output and Fourier planes are maintained as deciphering keys, and thus, the encryption keys will not be utilized for the decryption process. This leads to the advantage that the two ciphering keys may be utilized as public secret keys to encrypt distinct biometric images. Consequently, the suggested PTFT cryptosystem is an asymmetric encryption/decryption technique compared to the preceding related optical encryption techniques that are symmetric techniques such as Optical Scanning Holography (OSH) and Double Random Phase Encoding (DRPE). The suggested PTFT asymmetric encryption algorithm also has a wonderful practical performance in security applications. One of the main contributions of the proposed optical PTFT asymmetric encryption algorithm is that it removes the linearity features of the optical OSH and DRPE symmetric encryption algorithms through its great features of the phase truncation nonlinear operation. Subsequently, this produces an encrypted biometric template with two public keys, and the authenticated user can retrieve the original biometric template utilizing two private keys with achieving a high security and cancelability performance for the stored biometrics. To confirm the efficacy of the suggested optical encryption algorithm for developing a secure CBRS, various biometric datasets of face, ear, palmprint, fingerprint, and iris images are examined and analyzed. Extensive comparative analyses are performed amongst the suggested algorithm and the optical OSH and DRPE encryption algorithms. The experimental outcomes achieved for performance quality assessment assure that the suggested CBRS is reliable, robust, and realistic. It has great security and cancelability proficiency that expose excellent cancelable biometric recognition performance even in the existence of noise. Moreover, the performed experiments declare that the suggested CBRS guarantee an average FRR (False Reject Rate) of 0.0012, EER (Equal Error Rate) of 0.0019, and FAR (False Accept Rate) of 0.0030, and an average AROC (Areas under the Receiver Operating Characteristic) of 0.9996.