The generative model and discriminative model are the two categories of statistical models
used in keystroke biometric areas. Generative models have the trait of handling missing or …

Linking digital accounts belonging to the same user has progressed from a research topic to
a foundation for security, user satisfaction, and developing next-generation services. Still …

In an era marked by escalating concerns about digital security, biometric identification
methods have gained paramount importance. Despite the increasing adoption of biometric …

Keystroke dynamics is a soft biometric based on the assumption that humans always type in
uniquely characteristic manners. Previous works mainly focused on analyzing the key press …

Investigation and detection of cybercrimes has been in the spotlight of cybersecurity
research for as long as the topic has existed. Modern methods are required to keep up with …

In today's computing and information-processing industry, security has become a paramount
concern. With the proliferation of internet-based devices and the exponential growth of data …

Keystroke dynamics is a behavioural biometric utilised for user identification and
authentication. We propose a new set of features based on the distance between keys on …

This research article delves into the development of a reinforcement learning (RL)-based
continuous authentication system utilizing behavioral biometrics for user identification on …

Linking digital accounts belonging to the same user has progressed from a research topic to
a foundation for security, user satisfaction, and developing next-generation services. Still …

Personal identification through different biometry systems is being utilized worldwide on a
massive scale. Biometric identification techniques have now penetrated the systems and are …