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

Бібліографічні деталі
Parent link:Journal of Physics: Conference Series
Vol. 803 : Information Technologies in Business and Industry (ITBI2016).— 2017.— [012073, 6 p.]
Автор: Kochegurova E. A. Elena Alekseevna
Співавтор: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС)
Інші автори: Gorokhova E. S., Mozgaleva P. I. Polina Igorevna
Резюме: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.
Мова:Англійська
Опубліковано: 2017
Предмети:
Онлайн доступ:http://dx.doi.org/10.1088/1742-6596/803/1/012073
http://earchive.tpu.ru/handle/11683/38155
Формат: MixedMaterials Електронний ресурс Частина з книги
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654355