Development of the Keystroke Dynamics Recognition System; Journal of Physics: Conference Series; Vol. 803 : Information Technologies in Business and Industry (ITBI2016)

Podrobná bibliografie
Parent link:Journal of Physics: Conference Series
Vol. 803 : Information Technologies in Business and Industry (ITBI2016).— 2017.— [012073, 6 p.]
Hlavní autor: Kochegurova E. A. Elena Alekseevna
Korporativní autor: Томский политехнический университет Институт кибернетики, ИК
Další autoři: Gorokhova E. S., Mozgaleva P. I. Polina Igorevna
Shrnutí:Title screen
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.
Jazyk:angličtina
Vydáno: 2017
Témata:
On-line přístup:http://dx.doi.org/10.1088/1742-6596/803/1/012073
http://earchive.tpu.ru/handle/11683/38155
Médium: Elektronický zdroj Kapitola
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654355

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