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

Detalles Bibliográficos
Parent link:Journal of Physics: Conference Series
Vol. 803 : Information Technologies in Business and Industry (ITBI2016).— 2017.— [012073, 6 p.]
Autor Principal: Kochegurova E. A. Elena Alekseevna
Autor Corporativo: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС)
Outros autores: Gorokhova E. S., Mozgaleva P. I. Polina Igorevna
Summary: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.
Idioma:inglés
Publicado: 2017
Subjects:
Acceso en liña:http://dx.doi.org/10.1088/1742-6596/803/1/012073
http://earchive.tpu.ru/handle/11683/38155
Formato: Electrónico Capítulo de libro
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654355