Developing of keystroke dynamics analyzing systems using a presentation based on state contexts

Authors

  • Dmitry A. Trokoz Penza State Technological University, 440039, Russia, Penza, 1/11 Baydukova proyezd/Gagarina ul., 1/11
  • Alexey I. Martyshkin Penza State Technological University, 440039, Russia, Penza, 1/11 Baydukova proyezd/Gagarina ul., 1/11
  • Elena A. Balzannikova Penza State Technological University, 440039, Russia, Penza, 1/11 Baydukova proyezd/Gagarina ul., 1/11
  • Irina G. Sergina Penza State Technological University, 440039, Russia, Penza, 1/11 Baydukova proyezd/Gagarina ul., 1/11

DOI:

https://doi.org/10.5377/nexo.v34i04.12659

Keywords:

behavioral biometry, dynamics identification, keyboard, data analysis, machine learning

Abstract

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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Published

2021-10-21

How to Cite

Trokoz, D. A. ., Martyshkin, A. I., Balzannikova, E. A. ., & Sergina, I. G. . (2021). Developing of keystroke dynamics analyzing systems using a presentation based on state contexts. Nexo Scientific Journal, 34(04), 1258–1271. https://doi.org/10.5377/nexo.v34i04.12659

Issue

Vol. 34 No. 04 (2021)

Section

Articles

License

Copyright (c) 2021 Universidad Nacional de Ingeniería

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