Purpose The security of the stored biometric template is itself a challenge. Feature
transformation techniques and biometric cryptosystems are used to address the concerns …

A fuzzy extractor (FE) enables reproducible generation of high-quality randomness from
noisy inputs having sufficient min-entropy. FEs have been proposed for deriving …

Biometric recognition is more and more employed in authentication and access control of
various applications. Biometric data are strongly linked with the user and do not allow …

Secure sketches and fuzzy extractors enable the use of biometric data in cryptographic
applications by correcting errors in noisy biometric readings and producing cryptographic …

Herder et al.(IEEE Transactions on Dependable and Secure Computing, 2017) designed a
new computational fuzzy extractor and physical unclonable function (PUF) challenge …

Fuzzy extractor converts the reading of a noisy non-uniform source to a reproducible and
almost uniform output R. The output R in turn is used in some cryptographic system as a …

As many vulnerabilities of one-time authentication systems have already been uncovered,
there is a growing need and trend to adopt continuous authentication systems. Biometrics …

Biometric authentication is getting increasingly popular because of its appealing usability
and improvements in biometric sensors. At the same time, it raises serious privacy concerns …

We study the problem of biometric-based authentication with template privacy. Typical
schemes addressing this problem, such as Fuzzy Vaults (FV) and Fuzzy Extractors (FE) …

We present a technique that uses privacy enhancing technologies and biometrics to prevent
the unauthorized lending of credentials. Current credential schemes suffer the weakness …