In this paper, we present a novel motion-based unobtrusive behavioral biometric-based user authentication solution-SnapAuth, for Android-based smartwatch. SnapAuth requires the user to perform a fingersnapping action, while wearing the smartwatch (in the gesture performing arm), to perform the authentication. SnapAuth profiles the arm-movements by collecting data from smartwatch’s built-in accelerometer and gyroscope sensors, while the user performs this action. We implemented and evaluated SnapAuth on Motorolla Moto 3G smartwatch. SnapAuth could be widely usable and acceptable as it utilizes the users’ familiarity with the very common finger-snapping action and users do not need to remember any secret.
SNAPAUTH: A Gesture-based Unobtrusive Smartwatch User Authentication Scheme
The work described in this website has been conducted within the project NeCS. This project has received funding from the European Union’s Horizon 2020 (H2020) research and innovation programme under the Grant Agreement no 675320. This website and the content displayed in it do not represent the opinion of the European Union, and the European Union is not responsible for any use that might be made of its content.
Author (ESR):
Sandeep Gupta (Universita Degli Studi Di Trento)
Venue:
1st International Workshop on Emerging Technologies for Authorization and Authentication (Co-Located with ESORICS 2018)