Keystroke Dynamics Authentication for Mobile Phones

In this paper we address the feasibility of employing keystroke dynamics to perform user verification on mobile phones. Specifically, after having introduced a new statistical classifier, we analyze the discriminative capabilities of the features extracted from the acquired patterns, in order to determine which guarantee the best authentication performances. The effectiveness of using template selection techniques for keystroke verification is also investigated. The obtained experimental results indicate that the proposed method can be effectively employed to authenticate mobile phones users, even in operational contexts where the number of enrollment acquisition is kept low.