Continuous, Dynamic User Authentication Using Mobile Touch Dynamics Based on Machine Learning

Abstract

Modern user authentication measures on mobile devices often include biometric authentication (facial and fingerprint), multi-factor authentication, and password entry as ways of authenticating users. These authentication schemes can fall short of recognizing impostors after initially validating a user in a one or two-pass manner. Touch Dynamics, which continuously examines a user's behavior while using a mobile device, can offer a new method to authenticating users.