High-dimension space projection-based biometric encryption for fingerprint with fuzzy minutia

Wu, Zihao; Liang, Bin; You, Lin; Jian, Zhihua; Li, Jin

doi:10.1007/s00500-015-1778-2

Cited by 27 publications

(9 citation statements)

References 31 publications

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“…A performance comparison between the three suggested schemes is introduced in terms of Cr, Peak Signal-to-Noise Ratio (PSNR), Structural Similarity (SSIM), and other distinct evaluation parameters. In [20], an efficient fingerprint cryptography technique is introduced that employs the space high-dimension projection algorithm to generate the protected encrypted biometric template. The suggested biometric cryptography technique incorporates the benefits of fuzzy commitment, dynamic key generation, and fuzzy vault schemes in its operation.…”

Section: Related Cancelable Biometrics Workmentioning

confidence: 99%

“…Various transformation schemes could be employed on the identical biometric pattern for various functions and applications to counteract the cross-correlation along with accumulated templates in several biometric databases. More transformations and mathematical operations can be utilized for the cancelable biometric applications [14][15][16][17][18][19][20][21]. Some of them are employed to combine two or more template protection techniques to build a single biometric cryptosystem.…”

Section: Introductionmentioning

confidence: 99%

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Optical PTFT Asymmetric Cryptosystem-Based Secure and Efficient Cancelable Biometric Recognition System

et al. 2020

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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 paper, 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 ...

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Section: Related Cancelable Biometrics Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optical PTFT Asymmetric Cryptosystem-Based Secure and Efficient Cancelable Biometric Recognition System

et al. 2020

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“…There has been a great deal of research on the application based on single biometric identification, especially in the fields of biological key [7][8][9], cloud computing data security [10][11][12][13], blockchain [14], privacy preserving [15][16][17][18], and biological template protection [19][20][21]. However, there are still not so many studies on multibiometrics.…”

Section: Related Workmentioning

confidence: 99%

Multibiometric Fusion Authentication in Wireless Multimedia Environment Using Dynamic Bayesian Method

Yang

Zhang

et al. 2018

Security and Communication Networks

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Single biometric method has been widely used in the field of wireless multimedia authentication. However, it is vulnerable to spoofing and limited accuracy. To tackle this challenge, in this paper, we propose a multimodal fusion method for fingerprint and voiceprint by using a dynamic Bayesian method, which takes full advantage of the feature specificity extracted by a single biometrics project and authenticates users at the decision-making level. We demonstrate that this method can be extended to more modal biometric authentication and can achieve flexible accuracy of the authentication. The experiment of the method shows that the recognition rate and stability have been greatly improved, which achieves 4.46% and 5.94%, respectively, compared to the unimodal. Furthermore, it also increases 1.94% when compared with general multimodal methods for the biometric fusion recognition.

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“…A recent hybrid technique for fingerprint template protection is based on the integration of key generation and key binding techniques (Wu et al, 2016). The approach uses high-dimensional space projection to generate unique keys from fingerprint images.…”

Section: Hybrid Biometric Cryptosystemsmentioning

confidence: 99%

Cancelable and hybrid biometric cryptosystems: current directions and open research issues

Jegede

2017

Int. j. adv. appl. sci.

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Cancelable and hybrid biometric cryptosystems are two techniques used to offer protection against the security and privacy challenges faced by users of biometric authentication systems. The main objective of this paper is to present a critical review of current and emerging trends as well as open research issues in cancellable and hybrid biometric systems. The study examines cancelable biometrics under two main categories, namely noninvertible transformation and biometric salting. It also explores hybrid cryptosystems as means of providing improved template security and user privacy. The review focusses on the modes of operation, performance accuracy, security and privacy of various types of cancellable and hybrid biometric cryptosystems. It also provides a more comprehensive survey of latest research works in cancellable and hybrid biometric cryptosystems than existing review papers in these fields. The paper will provide readers with up-to-date information on current directions and open research issues in cancelable and hybrid biometric cryptosystems.

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High-dimension space projection-based biometric encryption for fingerprint with fuzzy minutia

Cited by 27 publications

References 31 publications

Optical PTFT Asymmetric Cryptosystem-Based Secure and Efficient Cancelable Biometric Recognition System

Optical PTFT Asymmetric Cryptosystem-Based Secure and Efficient Cancelable Biometric Recognition System

Multibiometric Fusion Authentication in Wireless Multimedia Environment Using Dynamic Bayesian Method

Cancelable and hybrid biometric cryptosystems: current directions and open research issues

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