Biometric cryptosystems: issues and challenges

By Umut Uludag, Sharath Pankanti, Salil Prabhakar, Anil K. Jain. Proceedings of the IEEE, 2004

1,026 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Systems, Signal Processing

View Paper: https://www.semanticscholar.org/paper/9045e5ac9dda7cc59decf5e1e08bcf018a9467be

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Citations in the corpus

Generating Cancelable Fingerprint Templates (2007, background): “A comprehensive review of these techniques can be found in [30].”
A survey on biometric cryptosystems and cancelable biometrics (2011, methodology): “As opposed to existing literature [4,8], which intends to review BCSs and CB at coarse level, this article provides the reader with detailed descriptions of all existing key concepts and follow-up developments.”
An Analysis of Random Projection for Changeable and Privacy-Preserving Biometric Verification (2010, background): “When the biometric template in one application is compromised, the biometric signal itself is not lost forever, and a new biometric template can be reissued [4].”
Cancelable Biometrics: A review (2015, background): “There are also some closely related but not equivalent biometric template protection schemes based on cryptosystems [10] that have been studied extensively.”
Vulnerabilities in Biometric Encryption Systems (2005, background): “Traditional biometric technology tests for a match between a new image of an individual and the key biometric features of an original image stored in a biometric template.”
Biometrics: a tool for information security (2006, methodology): “the cryptographic (biometric key generation) system has not been studied until recent years [52].”
Determinants of end-user acceptance of biometrics: Integrating the "Big 3" of technology acceptance with privacy context (2013, background): “[82], the security issues regarding biometric implementations are much more complex than with any other IT system.”
50 years of biometric research: Accomplishments, challenges, and opportunities (2016, neutral): “…2006 [85] , which could capture iris images at a 3 m standoff distance and from subjects Please cite this article as: A.K. Jain et al., 50 years of biometric research: Accomplishments, challenges, and opportunities, Pattern Recognition Letters (2016), http://dx.doi.org/10.1016/j.patrec.2015.12.013”
Biometrics: a grand challenge (2004, background): “One promising research direction may be biometric cryptosystems [8] generation of cryptographic keys based on biometric samples.”
Combining Crypto with Biometrics Effectively (2006, background): “Second, many proposals have failed to consider security engineering aspects, of which the most severe are the irrevocability of biometrics and their low level of secrecy [6].”
Fuzzy Vault for Fingerprints (2005, methodology): “One hundred pairs of fingerprint images (of 100 users) from IBM-GTDB database are used for locking and unlocking the vaults with the following parameters: number of template and query Umut Uludag, Sharath Pankanti, and Anil K. Jain minutiae 18 N = (selected so that the number of candidate points wil”
Fingerprint-Based Fuzzy Vault: Implementation and Performance (2007, background): “A detailed review of different biometric cryptosystems has been presented in [17].”
A novel biometrics method to secure wireless body area sensor networks for telemedicine and m-health (2006, background): “In order to be a practical biometrics system , it is postulated that the utilized characteristics should be [6]: • Universal: possessed by the majority, if not the entire population • Distinctive: sufficiently different in any two individuals • Permanent: sufficiently invariant, with respect to the…”
Security algorithm of face recognition based on local binary pattern and random projection (2010, background): “The parameters of the transformation function are typically derived from a random key or password which is unrelated with the biometrics data.”
Behavioural biometrics: a survey and classification (2008, background): “…biometrics systems are usually less established, and only those which are in large part based on muscle control such as keystrokes, gait or signature are well analysed (Bolle et al., 2003; Delac and Grgic, 2004; Jain et al., 2004c; Ruggles, 2007; Solayappan and Latifi, 2006; Uludag et al., 2004).”
Biometric Template Security (2008, methodology): “Biometric cryptosystems [40, 41] were originally developed for the purpose of either securing a cryptographic key using biometric features or directly generating a cryptographic key from biometric features.”
Automatic Signature Verification: The State of the Art (2008, neutral): “tion [103], [320], [319].”