Keystroke Active Authentications Based on Most Frequently Used Words

Abstract

The aim of this research is to advance the user active authentication technology using keystroke dynamics. Through this research, we assess the performance and influence of various keystroke features on keystroke dynamics authentication systems. In particular, we investigate the performance of keystroke features on a subset of most frequently used English words. The performance of four features including key duration, flight time latency, diagraph time latency, and word total time duration are analyzed. Experiments are performed to measure the performance of each feature individually and the results from the different subsets of these features. The results of the experiments are evaluated using 28 users. The experimental results show that diagraph time offers the best performance result among all four keystroke features, followed by flight time. Furthermore, the paper introduces new feature which can be effectively used in the keystroke dynamics domain.