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In this work we investigated user authentication on mobile devices using touch behavior and micro movements of the device. The novelty of our work lies in the collection of user behavior data during the filling in of a psychological questionnaire (implemented as an Android application). In order to answer the questions, users were required to use a slider. Therefore users were constrained to using...
Currently people store more and more sensitive data on their mobile devices. Therefore it is highly important to strengthen the existing authentication mechanisms. The analysis of typing patterns, formally known as keystroke dynamics is useful to enhance the security of password-based authentication. Moreover, touchscreen allows adding features ranging from pressure of the screen or finger area to...
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