Biometric Prediction on Keystroke Dynamics

This project takes a look at a biometric classifier with keystroke dynamics. Besides typing a password to validate a user, it is possible to discriminate users by their typing rhythms. This features can be used to detect impostors. This project is based on the data set of the publication Killourhy, K. S., & Maxion, R. A. Comparing anomaly detectors for keystroke dynamics. In Proc. of the Int. Conf. on Dependable Systems and Networks (DSN) (pp. 125-134). The objective is to build a classification baser on neural networks with the keras library.