Random Slope method for generation of cancelable biometric features

Kaur, Harkeerat; Khanna, Pritee

doi:10.1016/j.patrec.2018.02.016

Cited by 27 publications

(15 citation statements)

References 13 publications

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“…They tested the introduced CBRS against comparison methods on three different datasets of face, iris, and ear. In [12], the authors suggested a novel CBRS defined as Random Slope (RS) technique for producing non-invertible, revocable, and secured biometric templates. The presented cancelable RS technique achieved higher cancelability performance by providing biometric dimensionality decrement with improved ratios.…”

Section: Related Cancelable Biometrics Workmentioning

confidence: 99%

“…In the suggested cancelable biometric framework, the random distance technique is employed to create revocable, non-invertible, privacy-preserving, and dimensionally decreased pseudo template identities. The same authors in [12,13] introduced an improved CBRS in [15] based on using a random polynomial transformation scheme for generating protected and secured biometric images identified as PolyCodes. These generated secured images are revocable, discriminability, and privacy safeguarding, and deliver considerable dimensionality diminution.…”

Section: Related Cancelable Biometrics Workmentioning

confidence: 99%

“…In these cancelable biometric frameworks, various biometric records can be modified or modernized without altering the whole system. So, cancelable biometric frameworks are based on the conversion of original biometric information into a different arrangement, so that individuals can supplant their unique biometric patterns in the same or various applications [12]. So, in such cancelable biometric frameworks, the original biometrics are distorted utilizing a one-way mathematical operation prior to their storage in the database.…”

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: Related Cancelable Biometrics Workmentioning

confidence: 99%

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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“…In [43], Kaur and Khanna presented a cancelable biometric method, named random slop, which can reduce the feature dimensions by up to 75%. This method has been tested on many biometric databases, such as face, palmprint, palmvein, and fingervein, except fingerprint, although it can be implemented to fingerprint features.…”

Section: Cancelable Biometricsmentioning

confidence: 99%

Biometrics Based Privacy‐Preserving Authentication and Mobile Template Protection

Yang

Wang

et al. 2018

Wireless Communications and Mobile Computing

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Smart mobile devices are playing a more and more important role in our daily life. Cancelable biometrics is a promising mechanism to provide authentication to mobile devices and protect biometric templates by applying a noninvertible transformation to raw biometric data. However, the negative effect of nonlinear distortion will usually degrade the matching performance significantly, which is a nontrivial factor when designing a cancelable template. Moreover, the attacks via record multiplicity (ARM) present a threat to the existing cancelable biometrics, which is still a challenging open issue. To address these problems, in this paper, we propose a new cancelable fingerprint template which can not only mitigate the negative effect of nonlinear distortion by combining multiple feature sets, but also defeat the ARM attack through a proposed feature decorrelation algorithm. Our work is a new contribution to the design of cancelable biometrics with a concrete method against the ARM attack. Experimental results on public databases and security analysis show the validity of the proposed cancelable template.

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“…A secured feature matrix from the template and AES cipher was used by Gaddam and Lal [75]. We also note the novel approach using random slopes of Kaur and Khanna [76], and the technique for achieving cancellability through geometric triangulation and steganography of Neethu and Akbar [77]. The work of Punithavathi and Subbiah [78] introduced partial DCT-based cancellability for IoT applications.…”

mentioning

confidence: 99%

Cryptobiometrics for the Generation of Cancellable Symmetric and Asymmetric Ciphers with Perfect Secrecy

Vera

Ávila

2020

Mathematics

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Security objectives are the triad of confidentiality, integrity, and authentication, which may be extended with availability, utility, and control. In order to achieve these goals, cryptobiometrics is essential. It is desirable that a number of characteristics are further met, such as cancellation, irrevocability, unlinkability, irreversibility, variability, reliability, and biometric bit-length. To this end, we designed a cryptobiometrics system featuring the above-mentioned characteristics, in order to generate cryptographic keys and the rest of the elements of cryptographic schemes—both symmetric and asymmetric—from a biometric pattern or template, no matter the origin (i.e., face, fingerprint, voice, gait, behaviour, and so on). This system uses perfect substitution and transposition encryption, showing that there exist two systems with these features, not just one (i.e., the Vernam substitution cipher). We offer a practical application using voice biometrics by means of the Welch periodogram, in which we achieved the remarkable result of an equal error rate of (0.0631, 0.9361). Furthermore, by means of a constructed template, we were able to generate the prime value which specifies the elliptic curve describing all other data of the cryptographic scheme, including the private and public key, as well as the symmetric AES key shared between the templates of two users.

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Random Slope method for generation of cancelable biometric features

Cited by 27 publications

References 13 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

Biometrics Based Privacy‐Preserving Authentication and Mobile Template Protection

Cryptobiometrics for the Generation of Cancellable Symmetric and Asymmetric Ciphers with Perfect Secrecy

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