Biometric users identification in online education systems based on anomaly detection methods by means of artificial neural networks

Abstract

The article deals with the issue of biometric identification of users of distance education systems based on the analysis of their keyboard rhythm by means of an artificial neural network. The main algorithms and data models used in modeling problems of user's keyboard dynamics are described. The structure and parameters of the artificial network – an anomaly detector used for biometric identification of users, are described.