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arXiv · 2107.07009

Free-Text Keystroke Dynamics for User Authentication

Jianwei Li·Han-Chih Chang·Mark Stamp
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Abstract

In this research, we consider the problem of verifying user identity based on keystroke dynamics obtained from free-text. We employ a novel feature engineering method that generates image-like transition matrices. For this image-like feature, a convolution neural network (CNN) with cutout achieves the best results. A hybrid model consisting of a CNN and a recurrent neural network (RNN) is also shown to outperform previous research in this field.

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Jianwei Li, Han-Chih Chang, Mark Stamp. 2021-07-01. Free-Text Keystroke Dynamics for User Authentication. https://arxiv.org/abs/2107.07009

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