Identity management through biometrics offer potential advantages over knowledge and
possession based methods. A wide variety of biometric modalities have been tested so far …

The success of deep learning over the traditional machine learning techniques in handling
artificial intelligence application tasks such as image processing, computer vision, object …

Iris recognition refers to the automated process of recognizing individuals based on their iris
patterns. The seemingly stochastic nature of the iris stroma makes it a distinctive cue for …

Secure multi-party computation (MPC) is an essential tool for privacy-preserving machine
learning (ML). However, secure training of large-scale ML models currently requires a …

This study investigates the performance of two open source intrusion detection systems
(IDSs) namely Snort and Suricata for accurately detecting the malicious traffic on computer …

Biometric authentication has been found to be an effective method for recognizing a
person's identity with a high confidence. In this field, the use of palmprint represents a recent …

Object recognition systems constitute a deeply entrenched and omnipresent component of
modern intelligent systems. Research on object recognition algorithms has led to advances …

The iris is regarded as one of the most useful traits for biometric recognition and the
dissemination of nationwide iris-based recognition systems is imminent. However, currently …

Biometric technologies are routinely used in the response to refugee crises with the United
Nations High Commissioner for Refugees (UNHCR) aiming to have all refugee data from …

This paper describes the large-scale experimental results from the Face Recognition Vendor
Test (FRVT) 2006 and the Iris Challenge Evaluation (ICE) 2006. The FRVT 2006 looked at …