User Identification by the Free-Text Keystroke Dynamics

The article discusses the possibility of user identification based on free-text keystroke dynamics for the Russian language. Article describes software for receiving of free-text keystroke dynamics characteristics and designed database for them storage. The using of a naive Bayesian classifier for the task is described. Preliminary quantitative assessment of the user identification quality. The requirements and material for the future studies was accumulated.