Mobile behavioral biometrics have become a popular topic of research, reaching promising
results in terms of authentication, exploiting a multimodal combination of touchscreen and …

Current mobile user authentication systems based on PIN codes, fingerprint, and face
recognition have several shortcomings. Such limitations have been addressed in the …

We study the performance of Long Short-Term Memory networks for keystroke biometric
authentication at large scale in free-text scenarios. For this we explore the performance of …

Mobile devices such as smartphones and smartwatches are part of our everyday life,
acquiring large amount of personal information that needs to be properly secured. Among …

Large language models like ChatGPT have recently demonstrated impressive capabilities in
natural language understanding and generation, enabling various applications including …

The growing number of mobile devices over the past few years brings a large amount of
personal information, which needs to be properly protected. As a result, several mobile …

Analyzing keystroke dynamics (KD) for biometric verification has several advantages: it is
among the most discriminative behavioral traits; keyboards are among the most common …

We first study the suitability of behavioral biometrics to distinguish between computers and
humans, commonly named as bot detection. We then present BeCAPTCHA-Mouse, a bot …

Several authentication techniques are required to preserve smartphone users' privacy. Part
of these authentication mechanisms are based on Keystroke Dynamics (KD) or Swipe …

This paper describes the experimental framework and results of the IJCB 2022 Mobile
Behavioral Biometrics Competition (MobileB2C). The aim of MobileB2C is bench-marking …