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Evaluating Learning Algorithms for Keystroke Based User Authentication
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This paper aims to investigate the comparative performance of supervised and unsupervised learning using two algorithms, KNN and K-means++, and explore the ...
Jun 8, 2023 · This paper aims to investigate the comparative performance of supervised and unsupervised learning using two algorithms, KNN and K-means++, and ...
This paper aims to investigate the comparative performance of supervised and unsupervised learning using two algorithms, KNN and K-means++, and explore the ...
May 24, 2024 · Experiment results show that the proposed TKCA achieves state-of-the-art performance with 8.28% of EER when using only 30 keystrokes and 2.78% ...
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This research advances Keystroke Dynamics-based authentication through cutting-edge technologies, including machine learning, deep learning, and neural networks ...
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We evaluate the performance of the authentication system in terms of Equal Error Rate (EER) on a significant dataset and we show the efficiency of the proposed ...
11 conducted a research in dynamic keystroke for user authentication using self-collected dataset from the volunteer, data collected using same text for all ...
Background: Keystroke dynamics authentication is a behavioral biometric method that verifies user identity by analyzing typing patterns.
Jul 18, 2022 · In this research, we propose an authentication method based on Bag- ging classifier set. This method is composed of three Bagging ensembles ...
Enhancing User Authentication via Deep Learning: A Keystroke ...
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Aug 9, 2024 · In this research paper, a unique method for authenticating users based on typing dynamics has been proposed, aimed to enhance the security of ...