SMAUG: Secure Mobile Authentication Using Gestures
Christian A. Gorke, Frederik Armknecht

TL;DR
SMAUG is a biometric authentication system for mobile devices that uses multi-sensor data to recognize user gestures with high accuracy and security, supporting flexible input methods like free-form gestures and multi-touch.
Contribution
This paper introduces SMAUG, a novel gesture-based authentication method leveraging multiple sensors, providing high robustness and security without extra hardware.
Findings
77% first-attempt correct identification
99% accuracy after three attempts
97% attacker detection rate
Abstract
We present SMAUG (Secure Mobile Authentication Using Gestures), a novel biometric assisted authentication algorithm for mobile devices that is solely based on data collected from multiple sensors that are usually installed on modern devices -- touch screen, gyroscope and accelerometer. As opposed to existing approaches, our system supports a fully flexible user input such as free-form gestures, multi-touch, and arbitrary amount of strokes. Our experiments confirm that this approach provides a high level of robustness and security. More precisely, in 77% of all our test cases over all gestures considered, a user has been correctly identified during the first authentication attempt and in 99% after the third attempt, while an attacker has been detected in 97% of all test cases. As an example, gestures that have a good balance between complexity and usability, e.g., drawing a two…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsUser Authentication and Security Systems · Advanced Malware Detection Techniques · Interactive and Immersive Displays
