Cryptographic key generation from cancelable fingerprint templates

Sarkar, Arpita; Singh, Binod Kr

doi:10.1109/rait.2018.8389007

Cited by 15 publications

(9 citation statements)

References 9 publications

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“…Also, a bit-toggling strategy is utilized to inject noise into the generated template, so as to further strengthen template security. Sarkar and Singh [68] proposed generation of cryptographic keys from cancelable fingerprint templates. Different keys with a length of 128 bits can be generated by cancelling and reissuing different fingerprint templates.…”

Section: Biometric Cryptosystemsmentioning

confidence: 99%

“…However, most biometric cryptosystems are not equipped with cancelability. Some researchers realized this problem and thus developed biometric cryptosystems with revocability [67,68], so as to enhance system security. It is worth noting that nowadays deep learning techniques [69] have been involved in more and more biometric applications, e.g., face and voice recognition, but there is almost no research regarding the security of deep learning based biometrics.…”

Section: Biometric Cryptosystemsmentioning

confidence: 99%

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Security and Accuracy of Fingerprint-Based Biometrics: A Review

et al. 2019

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Biometric systems are increasingly replacing traditional password-and token-based authentication systems. Security and recognition accuracy are the two most important aspects to consider in designing a biometric system. In this paper, a comprehensive review is presented to shed light on the latest developments in the study of fingerprint-based biometrics covering these two aspects with a view to improving system security and recognition accuracy. Based on a thorough analysis and discussion, limitations of existing research work are outlined and suggestions for future work are provided. It is shown in the paper that researchers continue to face challenges in tackling the two most critical attacks to biometric systems, namely, attacks to the user interface and template databases. How to design proper countermeasures to thwart these attacks, thereby providing strong security and yet at the same time maintaining high recognition accuracy, is a hot research topic currently, as well as in the foreseeable future. Moreover, recognition accuracy under non-ideal conditions is more likely to be unsatisfactory and thus needs particular attention in biometric system design. Related challenges and current research trends are also outlined in this paper. recognition as an example. In the stage of enrollment, a user presents their finger to the fingerprint sensor and a fingerprint image is acquired by the sensor module. Certain features of the acquired fingerprint image are extracted, and further adapted or transformed to generate template data for the purpose of comparison in the verification stage. In the verification stage, the fingerprint image of a query is collected by the sensor module. The feature representations of the query fingerprint image go through the same process as in the enrollment stage, so as to obtain query data. The query data are then compared with the template data so that a matching outcome is attained.

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Section: Biometric Cryptosystemsmentioning

confidence: 99%

Section: Biometric Cryptosystemsmentioning

confidence: 99%

Security and Accuracy of Fingerprint-Based Biometrics: A Review

et al. 2019

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“…Sandhya, et al [18], used on the other hand, fused local and distant structure with DFT to generate cancellable template. Sarkar, et al [19], proposed a method to generate secret key from fingerprint image and used encryption to use it in two-way communication between sender an and receiver. Roy, et al [20], proposed a technique to generate a synthetic master-print that can be used to match a large number of target prints.…”

Section: Related Studiesmentioning

confidence: 99%

Advancing Fingerprint Template Generation and Matching With Recast Minutiae Clustering and mRBFN

Maiti,

Basak,

Das

2024

AAIML

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Rapid development of automation in the day-to-day life activity marks up the need of securing bio-metric template and the privacy of rightful owner. Minutiae-based matching is the most popular in the fingerprint recognition system, which greatly suffers from non-linear distortion like translation and rotation. To deal with linear distortion most of the technique proposed in the literature depends upon a reference or singular point. The paper proposes a binary template generation technique which applies an unsupervised clustering technique without fixing the number of clusters. Instead of position and orientation of the minutiae points the cardinality of the clusters are stored and converted into binary template. No spatial pattern information about the fingerprint is stored in the template to protect it from spoofing and information leakage. By the help of modified Radial Basis Function Network (mRBFN) with robust and efficient matching technique the generated templates are matched for authentication. We use MCYT dataset for training the mRBFN. The efficiency of the proposed scheme is evaluated on FVC 2000, FVC 2002 and FVC 2004 dataset.

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“…An article reviewed various biometric template protection schemes, including key binding techniques such as fuzzy commitment and fuzzy vault [77]. This intrinsically bound the keys to the biometrics using error correction to handle biometric variance.…”

Section: Cryptographic Key Generation Using Biometricsmentioning

confidence: 99%

The Emerging Challenges of Wearable Biometric Cryptosystems

Ajlan,

Alsboui,

Alshaikh

et al. 2024

Cryptography

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Cryptographic key generation and data encryption and decryption using wearable biometric technologies is an emerging research area with significant potential for authentication and communication security. The research area is rapidly developing, and a comprehensive review of recently published literature is necessary to establish emerging challenges. This research article aims to critically investigate and synthesize current research using biometric cryptosystems that use behavior or medico-chemical characteristics, ranging from gate analysis to gaze tracking. The study will summarize the state of knowledge, identify critical research gaps, and provide insight into promising future implications and applications that can enable the realization of user-specific and resilient solutions for authentication and secure communication demands.

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Cryptographic key generation from cancelable fingerprint templates

Cited by 15 publications

References 9 publications

Security and Accuracy of Fingerprint-Based Biometrics: A Review

Security and Accuracy of Fingerprint-Based Biometrics: A Review

Advancing Fingerprint Template Generation and Matching With Recast Minutiae Clustering and mRBFN

The Emerging Challenges of Wearable Biometric Cryptosystems

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