Authentication system using behavioral biometrics through keystroke dynamics

Abstract

This work presents a user's authentication system for computational environments based on keystroke dynamics. The methodology proposed is low-cost, non-intrusive and can be applied in areas of monitored access software to increase the level of data security. The algorithm works by monitoring the typing of the user in real time, capturing split times in which the key was pressed and released. Five characteristics are captured in this entry: The ASCII code (American Standard Code for Information Interchange), three splits associated and a duration associated with the key, which would be the time that it remained pressed. From this data it was possible to trace metrics that were able to identify the user in question. Results obtained show a high level of accuracy.