Biometric cryptosystems: A new biometric key binding and its implementation for fingerprint minutiae-based representation

Jin, Zhe; Teoh, Andrew Beng Jin; Goi, Bok‐Min; Tay, Yong Haur

doi:10.1016/j.patcog.2016.02.024

Cited by 85 publications

(34 citation statements)

References 30 publications

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“…Performance discrepancy: The key binding approach in [57] reported FAR more than zero in their implementation on fingerprint. This implies the potential of this scheme to be compromised through FAR related attacks.…”

Section: Motivation and Contributionmentioning

confidence: 99%

“…In this paper, we proposed an alignment free iris key binding scheme with cancelable transform without depending on ECC. This idea is another approach based on chaffing and winnowing similar to Jin's approach [57]. This concept is often used in cryptology for data encryption when transferring through an insecure channel where direct application to biometrics is inappropriate due to the randomness and variability nature of the data.…”

Section: Motivation and Contributionmentioning

confidence: 99%

“…Feature representation and storage: In this non-hierarchical key binding design, biometric template size and key length have critical effects on the storage space and computation power. The proposed format for biometric template in [57] is not directly applicable for all types of biometrics, especially iris. Thus, we induced the scheme with more flexibility through tuneable storage.…”

Section: Motivation and Contributionmentioning

confidence: 99%

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A New Design for Alignment-Free Chaffed Cancelable Iris Key Binding Scheme

et al. 2019

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Iris has been found to be unique and consistent over time despite its random nature. Unprotected biometric (iris) template raises concerns in security and privacy, as numerous large-scale iris recognition projects have been deployed worldwide—for instance, susceptibility to attacks, cumbersome renewability, and cross-matching. Template protection schemes from biometric cryptosystems and cancelable biometrics are expected to restore the confidence in biometrics regarding data privacy, given the great advancement in recent years. However, a majority of the biometric template protection schemes have uncertainties in guaranteeing criteria such as unlinkability, irreversibility, and revocability, while maintaining significant performance. Fuzzy commitment, a theoretically secure biometric key binding scheme, is vulnerable due to the inherent dependency of the biometric features and its reliance on error correction code (ECC). In this paper, an alignment-free and cancelable iris key binding scheme without ECC is proposed. The proposed system protects the binary biometric data, i.e., IrisCodes, from security and privacy attacks through a strong and size varying non-invertible cancelable transform. The proposed scheme provides flexibility in system storage and authentication speed via controllable hashed code length. We also proposed a fast key regeneration without either re-enrollment or constant storage of seeds. The experimental results and security analysis show the validity of the proposed scheme.

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Section: Motivation and Contributionmentioning

confidence: 99%

Section: Motivation and Contributionmentioning

confidence: 99%

Section: Motivation and Contributionmentioning

confidence: 99%

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A New Design for Alignment-Free Chaffed Cancelable Iris Key Binding Scheme

et al. 2019

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“…Jin et al [20] combines the notion of biometric cryptosystem and cancellable biometrics, and present a key binding scheme for minutiae-based fingerprint bio-metrics. They exploit the idea of chaffing and winnowing (CWS) [21] to confuse the eavesdropper in order to distinguish between real and bogus data and provide confidentiality without using encryption which actually reduces the overall performance of the system.…”

Section: Related Workmentioning

confidence: 99%

Cancelable Face Template Protection using Transform Features for Cyberworld Security

Kausar¹

2020

IJACSA

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Cyber world becomes a fundamental and vital component of the physical world with the increase of dependence on internet-connected devices in industry and government organizations. Provision of privacy and security of users during online communication offers unique cybersecurity challenges for industry and government. Intrusion is one of the crucial issues of cybersecurity, which can be overcome by providing the vigorous authentication solutions. Biometrics authentication is used in different cybersecurity systems for user authentication purpose. The cancelable biometric is a solution to rid of privacy problems in traditional biometric systems. This paper purposes a new cancelable face authentication method, which uses Hybrid Gabor PCA (HGPCA) descriptor for cyberworld security. The proposed method uses the wavelet transform for the extraction of the features of the face images by using Gabor filter and Principal Component Analysis (PCA). Later, both types of features have been ensemble by using the simple concatenation scheme. Then scrambling has been applied to the fused features by using the random key generated by the user. So finally, scrambled fused features has been stored in the database which are used for the cancelable biometric authentication as well as recovery. HGPCA achieves "cancelability" and increases the authentication accuracy. The proposed method has been tested on three standard face datasets. Experimental results of the proposed method have been compared with existing methods by using standard quantitative measures that show superiority over existing methods.

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“…There are many ideas proposed in the literature, such as error-correcting codes [29], fuzzy commitments [30], fuzzy extractors [27,31] and fuzzy vaults [32,33]. These algorithms have already been referenced in newly presented key agreement schemes.…”

Section: Related Workmentioning

confidence: 99%

Privacy Protection for E-Health Systems by Means of Dynamic Authentication and Three-Factor Key Agreement

Zhang

Tang

et al. 2018

IEEE Trans. Ind. Electron.

124

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During the past decade, the electronic healthcare (e-health) system has been evolved into a more patient-oriented service with smaller and smarter wireless devices. However, these convenient smart devices have limited computing capacity and memory size, which makes it harder to protect the user's massive private data in the e-health system. Although some works have established a secure session key between the user and the medical server, the weaknesses still exist in preserving the anonymity with low energy consumption. Moreover, the misuse of biometric information in key agreement process may lead to privacy disclosure, which is irreparable. In this study, we design a dynamic privacy protection mechanism offering the biometric authentication at the server side whereas the exact value of the biometric template remains unknown to the server. And the user anonymity can be fully preserved during the authentication and key negotiation process because the messages transmitted with the proposed scheme are untraceable. Furthermore, the proposed scheme is proved to be semantic secure under the Real-or-Random Model. The performance analysis shows that the proposed scheme suits the e-health environment at the aspect of security and resource occupation.

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Biometric cryptosystems: A new biometric key binding and its implementation for fingerprint minutiae-based representation

Cited by 85 publications

References 30 publications

A New Design for Alignment-Free Chaffed Cancelable Iris Key Binding Scheme

A New Design for Alignment-Free Chaffed Cancelable Iris Key Binding Scheme

Cancelable Face Template Protection using Transform Features for Cyberworld Security

Privacy Protection for E-Health Systems by Means of Dynamic Authentication and Three-Factor Key Agreement

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