Development of the Keystroke Dynamics Recognition System

E. A. Kochegurova, E. S. Gorokhova, A. I. Mozgaleva

Research output: Contribution to journalConference articlepeer-review

3 Citations (Scopus)

Abstract

The paper is related to creating an algorithm for keystroke dynamics recognition and development of software, which is able to identify users according to their keystroke dynamics. Different characteristics of keystroke dynamics are considered. Probabilistic-statistical methods are compared with neural network algorithms for recognition. The algorithm for recognition was created and implemented. The software was tested with the help of some users. Their keystroke dynamics was analyzed in order to determine an efficiency of the created algorithm.

Original languageEnglish
Article number012073
JournalJournal of Physics: Conference Series
Volume803
Issue number1
DOIs
Publication statusPublished - 2017
EventInternational Conference on Information Technologies in Business and Industry 2016 - Tomsk, Russian Federation
Duration: 21 Sep 201623 Sep 2016

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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