Authenticating user using keystroke dynamics and finger pressure

Now mobile devices are developed to serve various functions, storing the sensitive information. As a consequence, the authentication of users for mobile devices has become an important issue. Additionally, the development of the mobile system is moving forward to the touch screen system for user friendly and quick access mechanism. In this paper, we proposed behavioral manners of users over the touchpad acting like touch screen that is able to detect finger pressure. We study the potential of each biometrics behavioral by individual and couple, comprise with hold-time, inter-key and finger pressure. The finding has shown that, the finger pressure gives the discriminative information more than keystroke dynamics with the PNN analytical method. Moreover, using only the finger pressure produces high accuracy rate of 99%.