Supervised learning aims to build a function or model that seeks as many mappings as
possible between the training data and outputs, where each training data will predict as a …

Today, digitalization decisively penetrates all the sides of the modern society. One of the key
enablers to maintain this process secure is authentication. It covers many different areas of a …

Biometric recognition refers to the automated recognition of individuals based on their
biological and behavioral characteristics such as fingerprint, face, iris, and voice. The first …

Biometric systems are increasingly replacing traditional password-and token-based
authentication systems. Security and recognition accuracy are the two most important …

Recent years have seen an exponential growth in the use of various biometric technologies
for trusted automatic recognition of humans. With the rapid adaptation of biometric systems …

To ensure the actual presence of a real legitimate trait in contrast to a fake self-manufactured
synthetic or reconstructed sample is a significant problem in biometric authentication, which …

In recent decades, we have witnessed the evolution of biometric technology from the first
pioneering works in face and voice recognition to the current state of development wherein 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 …

Over the past two decades, biometric recognition has exploded into a plethora of different
applications around the globe. This proliferation can be attributed to the high levels of …

This tutorial reviews fundamental contributions to information security. An integrative
viewpoint is taken that explains the security metrics, including secrecy, privacy, and others …