This work investigates how context should be taken into account when performing continuous authentication of a smartphone user based on touchscreen and accelerometer readings extracted from swipe gestures. The study is conducted on the publicly available HMOG dataset consisting of 100 study subjects performing pre-defined reading and navigation tasks while sitting and walking. It is shown that context-specific models are needed for different smartphone usage and human activity scenarios to minimize authentication error. Also, the experimental results suggests that utilization of phone movement improves swipe gesture-based verification performance only when the user is moving.
Traditional "obtrusive" authentication schemes, like passwords, PIN codes and biometrics, do not provide mechanisms to determine whether an active mobile device is being used by the same (or some other) authorized person after the initial access has been granted. Continuous authentication (CA), also referred to as active or implicit authentication, aims at verifying that a device is being used by a legitimate person after login by constantly monitoring the built-in sensor and device usage data, like (partial) face images, touchscreen gestures, device motion, power consumption, in the background (transparently to the user) @cite_9 .
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Recent developments in sensing and communication technologies have led to an explosion in the use of mobile devices such as smartphones and tablets. With the increase in the use of mobile devices, users must constantly worry about security and privacy, as the loss of a mobile device could compromise personal information. To deal with this problem, continuous authentication systems (also known as active authentication systems) have been proposed, in which users are continuously monitored after initial access to the mobile device. In this article, we provide an overview of different continuous authentication methods on mobile devices. We discuss the merits and drawbacks of the available approaches and identify promising avenues of research in this rapidly evolving field.