Abstract-Smartphone users have their own unique behavioral patterns when tapping on the touch screens. These personal patterns are reflected on the different rhythm, strength, and angle preferences of the applied force. Since smartphones are equipped with various sensors like accelerometer, gyroscope, and touch screen sensors, capturing a user's tapping behaviors can be done seamlessly. Exploiting the combination of four features (acceleration, pressure, size, and time) extracted from smartphone sensors, we propose a non-intrusive user verification mechanism to substantiate whether an authenticating user is the true owner of the smartphone or an impostor who happens to know the passcode. Based on the tapping data collected from over 80 users, we conduct a series of experiments to validate the efficacy of our proposed system. Our experimental results show that our verification system achieves high accuracy with averaged equal error rates of down to 3.65%. As our verification system can be seamlessly integrated with the existing user authentication mechanisms on smartphones, its deployment and usage are transparent to users and do not require any extra hardware support.
Zheng et al. propose to extract the user's behavioral patterns of touchscreen tapping (e.g., rhythm, strength, and angle preferences of the applied force) from the device's builtin accelerometer, gyroscope, and touchscreen sensor to provide non-intrusive user authentication REF when the device is in the unlocked status.
You Are How You Touch: User Verification on Smartphones via Tapping Behaviors
2014 IEEE 22nd International Conference on Network Protocols
2014 IEEE 22nd International Conference on Network Protocols
Computer Science