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- W3150453453 abstract "Continuous keystroke dynamics-based user authentication methods are one of the most perspective means of user authentication in computer systems. Such methods do not require specialized equipment and allow detection of user change anytime during a user session. In this paper, we explore new approaches to solving the problem based on Hausdorff distance and its modification, including a new method, the sum of maximum coordinate deviations. We compare proposed methods to existing ones that are based on distance functions defined in feature space, statistical criteria, and neural networks. Based on the experiments, we observe that the proposed method based on the sum of maximum coordinate deviations with k nearest feature vector selection reports the highest accuracy of all reviewed methods." @default.
- W3150453453 created "2021-04-13" @default.
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- W3150453453 date "2021-01-01" @default.
- W3150453453 modified "2023-10-16" @default.
- W3150453453 title "Continuous Keystroke Dynamics-Based User Authentication Using Modified Hausdorff Distance" @default.
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- W3150453453 doi "https://doi.org/10.1007/978-3-030-73216-5_16" @default.
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