Mobile Educational Application for Keystroke Dynamics Identification Systems

Renat Haluska*, Dominik Molcanyi*, Matus Pleva*, Daniel Hladek*, Jan Stas*, Ming Hsian Su, Yuan Fu Liao

*此作品的通信作者

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

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.

原文English
主出版物標題ICETA 2023 - 21st Year of International Conference on Emerging eLearning Technologies and Applications, Proceedings
編輯Stefan Fejedelem
發行者Institute of Electrical and Electronics Engineers Inc.
頁面165-170
頁數6
ISBN(電子)9798350370690
DOIs
出版狀態Published - 2023
事件21st International Conference on Emerging eLearning Technologies and Applications, ICETA 2023 - Stary Smokovec, 斯洛伐克
持續時間: 26 10月 202327 10月 2023

出版系列

名字ICETA 2023 - 21st Year of International Conference on Emerging eLearning Technologies and Applications, Proceedings

Conference

Conference21st International Conference on Emerging eLearning Technologies and Applications, ICETA 2023
國家/地區斯洛伐克
城市Stary Smokovec
期間26/10/2327/10/23

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