Security after login: Identity change detection on smartphones using sensor fusion
Tao Feng, Xi Zhao, Nick DeSalvo, Zhimin Gao, Xi Wang, Weidong Larry Shi · 2015
Coinciding with the surge in popularity and adoption of mobile devices and the ever-expanding capabilities of these devices, the amount of sensitive information accessed and stored has increased exponentially. Inasmuch, these advancements have, and continue to demand great efforts from researchers and the industry alike in terms of improving security therein. Existing technologies either conduct user identity verification via a login stage or request authentication every time the user accesses a sensitive app. We propose, in this paper, an IdentityTracker. This framework is dedicated to tracking the user's identity, performing app-level access control management. Continuous and implicit tracking of the user's identity is accomplished through monitoring fingerprint authentication logs as well as detecting events when the phone has left the user's hand. This approach leverages multiple onboard sensors. We conducted two user-studies acquiring smartphone users' usage statistics to investigate security and usability needs of our solution. To monitor these subtle gestures in real-world uncontrolled environments, multi-session data collection has been conducted to iteratively improve system performance. The evaluation results have demonstrated the feasibility of IdentityTracker.