The worldwide shift to distance learning at Higher Education Institutions (HEIs) during the
COVID-19 global pandemic has raised several concerns about the credibility of online …

Biometric systems identify individuals based on unique traits such as the face, fingerprints,
iris etc. The main objective of the study is to understand the role of deep learning in the …

Single-Sample Face Recognition (SSFR) is a computer vision challenge. In this scenario,
there is only one example from each individual on which to train the system, making it …

This paper proposes a novel identity management framework for Internet of Things (IoT) and
cloud computing-based personalized healthcare systems. The proposed framework uses …

With the increasing levels of digital transformation, focus on digital identities of individuals is
increasingly getting prominence. It is the information captured as part of the identity …

Biometric authentication systems have major security weaknesses: risk of biometric
information leakage, unreliability of authentication modules, and non-transparency of …

Step & Turn is a novel bimodal behavioral biometric-based verification scheme for physical
access control. In today's rapidly evolving smart physical spaces, frictionless and smooth …

Cybersecurity has been one of the interesting research fields that attract researchers to
investigate new approaches. One of the recent research trends in this field is cancelable …

The credibility of online examinations in Higher Education is hardened by numerous factors
and use-case scenarios. This paper reports on a longitudinal study, that spanned over …

The biometric system is an automatic identification and authentication system that uses
unique biological traits, such as fingerprint, face, iris, voice, retina, etc. of an individual. Of all …