In recent years, wearable technology is interwoven with our everyday lives because of its
commoditization and comfort. Security and privacy become a big concern as many user …

The purpose of this study is to conduct a comprehensive evaluation and analysis of the most
recent studies on the implications of keystroke dynamics (KD) patterns in user …

Reliably identifying and authenticating users remains integral to computer system security.
Various novel authentication tenchniques such as biometric authentication systems have …

User authentication is crucial in the digital learning environment to preserve the integrity and
reliability of the learning process. Implicit authentication using biometrics has been …

During the last years, several studies have been proposed about user identification by
means of keystroke analysis. Keystroke dynamics has a lower cost when compared to other …

Keystroke dynamics are used to authenticate users, to reveal some of their inherent or
acquired characteristics and to assess their mental and physical states. The most common …

Keystroke dynamics authentication aims at recognizing individuals on their way of typing on
a keyboard. It suffers from a high intra-class variability as any behavioral biometric modality; …

The rapid growth of electronic assessment in various fields has led to the emergence of
issues such as user identity fraud and cheating. One potential solution to these problems is …

In this article has been reviewed questions of development neural network analysis tools of
keyboard handwriting indicators for personality and user emotions recognition. Installed …

The rapid development of information and communication technologies and the widespread
use of the Internet has made it imperative to implement advanced user authentication …