@inproceedings{0cc232abe8f54f6e84873764377bd3ee,
title = "Mobile Educational Application for Keystroke Dynamics Identification Systems",
abstract = "This paper describes a chosen biometric method used in biometric systems to identify the user during online education interaction. The current demo page of the system is text-dependent, and it is planned to improve the identification and authentication mechanism to support continuous authentication and be able to detect cheating during online written exams. The article describes the keystroke dynamics method and informs the reader of current trends using this method and the implementation of keystroke dynamics within a web application used in an educational biometrics class.",
keywords = "biometrics, educational application, keystroke dynamics, mobile application, user identification",
author = "Renat Haluska and Dominik Molcanyi and Matus Pleva and Daniel Hladek and Jan Stas and Su, {Ming Hsian} and Liao, {Yuan Fu}",
note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 21st International Conference on Emerging eLearning Technologies and Applications, ICETA 2023 ; Conference date: 26-10-2023 Through 27-10-2023",
year = "2023",
doi = "10.1109/ICETA61311.2023.10343749",
language = "English",
series = "ICETA 2023 - 21st Year of International Conference on Emerging eLearning Technologies and Applications, Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "165--170",
editor = "Stefan Fejedelem",
booktitle = "ICETA 2023 - 21st Year of International Conference on Emerging eLearning Technologies and Applications, Proceedings",
address = "United States",
}