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 …

Risk-based authentication (RBA) aims to protect users against attacks involving stolen
passwords. RBA monitors features during login, and requests re-authentication when …

This work presents a new deep learning approach for keystroke biometrics based on a novel
Distance Metric Learning method (DML). DML maps input data into a learned representation …

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 …

Behavioural biometrics have the potential to provide an additional or alternative
authentication mechanism to those involving a shared secret (ie a password). Keystroke …

Recent research demonstrates the potential of touch dynamics as a usable and privacy-
preserving scheme for smartphone authentication. Most existing approaches rely on …

While the accuracy of keystroke dynamics verification systems has traditionally been
evaluated using a zero-effort attack model, the current trend is to recognize that such an …

Keystroke dynamics is a soft biometric trait. Although the shape of the timing distributions in
keystroke dynamics profiles is a central element for the accurate modeling of the behavioral …

Background: Mental fatigue is a common and potentially debilitating state that can affect
individuals' health and quality of life. In some cases, its manifestation can precede or mask …