Developing of keystroke dynamics analyzing systems using a presentation based on state contexts
DOI:
https://doi.org/10.5377/nexo.v34i04.12659Keywords:
behavioral biometry, dynamics identification, keyboard, data analysis, machine learningAbstract
This aim of the article is to discusses the main static and dynamic user identification methods by keystroke dynamics. As part of the research, a generalized way of representing the process of typing on the keyboard based on the sequential change of the keyboard state was proposed. The definition of the keyboard state context, which is the basis for the dynamic identification procedure, is formulated. The proposed approach will make it possible to apply a variety of static identification methods, significantly expanding the set of methods used for dynamic user identification by keystroke dynamics.
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