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Imitation model for keystroke dynamics base on state context representation
Author(s) -
Dmitry V. Pashchenko,
Alexey I. Martyshkin,
Dmitry A. Trokoz,
Elena A. Balzannikova
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/994/1/012001
Subject(s) - keystroke dynamics , keystroke logging , computer science , biometrics , imitation , context (archaeology) , representation (politics) , feature (linguistics) , debugging , artificial intelligence , process (computing) , dynamics (music) , identification (biology) , human–computer interaction , speech recognition , natural language processing , programming language , computer security , psychology , password , social psychology , pedagogy , politics , s/key , political science , law , paleontology , linguistics , philosophy , botany , biology
This paper describes different methods of keystroke dynamics. As part of a study on the development of methods for the dynamic analysis of keystroke dynamics, a method is proposed for representing the process of typing on the keyboard in the form of a successive change of states. Based on states it is proposed to define certain sequences called the state context as feature of a biometric image. Based on this representation, an imitation model of keystroke dynamics was developed, which allows replacing the physical source of biometric data for the purpose of testing and debugging the identification system of keystroke dynamics

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