Free-Text Keystroke Dynamics for User Authentication

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 feature, convolution neural network (CNN) with cutout achieves best results. A hybrid model consisting CNN and recurrent (RNN) is also shown to outperform previous research in field.