Аутентификация пользователей по клавиатурному почерку
Keywords:
machine learning, neural networks, information security, security systems, biometric authenticationAbstract
This article discusses security issues using software solutions based on machine learning algorithms for determining the manner of entering text from the keyboard, an overview of the positive and negative aspects of the technology.
Author Biographies
Александр Александрович Павленко, Московский политехнический университет
Студент кафедры «Информационная безопасность» Московского политехнического университета.
Valentina Valentinovna Britvina, Moscow Polytechnic University
Candidate of Pedagogy, Associate Professor of the Department of "Infocognitive Technologies" of the Moscow Polytechnic University, Associate Professor of the Department of "Management and Informatics in Technical Systems" of the Moscow State Technological University "STANKIN"
References
Лучан К. Биометрия текстового ввода.
Yunbin Deng, Yu Zhong. Keystroke Dynamics User Authentication Using Advanced Machine Learning Methods.
Сухаревская Е.В. Аутентификация пользователя по клавиатурному почерку.
https://www.osp.ru/cw/2017/3/13051677.
https://www.bigdataschool.ru/bigdata/biometrics-methods.html.
https://www.eduherald.ru/ru/article/view?id=18132.
https://www.osp.ru/lan/2012/02/13012841.
http://sciencegatepub.com/books/gcsr/gcsr_vol2/GCSR_Vol2_Ch2.pdf.
http://www.m-hikari.com/ces/ces2018/ces33-36-2018/p/hernandezCES33-36-2018-2.pdf.
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