Development of the Keystroke Dynamics Recognition System

Bibliographic Details
Parent link:Journal of Physics: Conference Series
Vol. 803 : Information Technologies in Business and Industry (ITBI2016).— 2017.— [012073, 6 p.]
Main Author: Kochegurova E. A. Elena Alekseevna
Corporate Author: Национальный исследовательский Томский политехнический университет (ТПУ) Институт кибернетики (ИК) Кафедра автоматики и компьютерных систем (АИКС)
Other Authors: 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.
Published: 2017
Subjects:
Online Access:http://dx.doi.org/10.1088/1742-6596/803/1/012073
http://earchive.tpu.ru/handle/11683/38155
Format: Electronic Book Chapter
KOHA link:https://koha.lib.tpu.ru/cgi-bin/koha/opac-detail.pl?biblionumber=654355