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AirSign: Smartphone Authentication by Signing in the Air
Yubo Shao1, Tinghan Yang1, He Wang1
1Department of Computer Science, Purdue University, West Lafayette, IN 47907, USA.
Sensors (Basel, Switzerland)
|December 30, 2020
Summary
AirSign offers a novel smartphone authentication method using acoustic and motion sensors for secure, intuitive user interaction. This technology accurately distinguishes genuine from forged signatures with high F-score, enhancing mobile security.
Area of Science:
- Human-computer interaction
- Biometric authentication
- Mobile security
Background:
- Current smartphone authentication methods often lack convenience, intuitiveness, or robust security.
- There is a need for novel authentication technologies that integrate seamlessly into daily user interactions.
- Existing biometric solutions may require specialized hardware or intrusive user actions.
Purpose of the Study:
- To introduce AirSign, a new user authentication technology for smartphones.
- To enable convenient, intuitive, and secure user authentication through in-air signatures.
- To leverage existing smartphone sensors (acoustic and motion) without additional hardware.
Main Methods:
- AirSign utilizes the earpiece speaker to transmit inaudible acoustic signals.
- Built-in microphones receive echoes to map signature and hand geometry.
- Acoustic echo features and motion sensor data are combined for authentication.
- User authentication is performed based on unique features extracted from sensor data.
Main Results:
- The study collected registered, genuine, and forged signatures from 30 participants.
- AirSign achieved a 97.1% F-score in distinguishing genuine from forged signatures.
- The system requires only seven signatures during the registration phase for effective authentication.
Conclusions:
- AirSign provides a promising solution for secure and user-friendly smartphone authentication.
- The technology effectively utilizes acoustic and motion sensing for biometric identification.
- The low registration requirement and high accuracy demonstrate practical viability for widespread adoption.
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