Abstract
Due to the increasing pervasiveness of mobile technologies, sensitive user information is often stored on mobile devices. Nowadays, mobile devices do not continuously verify the identity of the user while sensitive activities are performed. This enables attackers full access to sensitive data and applications on the device, if they obtain the password or grab the device after login. In order to mitigate this risk, we propose a continuous and silent monitoring process based on a set of features: orientation, touch and cell tower. The underlying assumption is that the features are representative of smartphone owner behaviour and this is the reason why the features can be useful to discriminate the owner by an impostor. Results show that our system, modeling the user behavior of 21 volunteer participants, obtains encouraging results, since we measured a precision in distinguishing an impostor from the owner between 99% and 100%.
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