Wei Song
Wen Hu
ABSTRACT
As the human hand makes direct physical contact with smartphones, significant efforts have recently been made to study the behavioral information of hand gripping of smartphones for user authentication purposes. Most existing methods leverage hand gripping behavior (e.g., gripping gesture, gripping position, gripping strength) of smartphones as biometrics to identify users. However, behavioral-based biometric authentication approaches may suffer from two problems: authentication performance (accuracy) degradation due to high-intra class variations arising from changes in user behavior over time, and vulnerability under spoofing attacks. To address these issues, we propose HoldPass, which is a behavior-independent in-hand user authentication method using vibration. HoldPass is able to adapt to the changes of hand gripping behavior of smartphones by extracting unique and stable physical features of human hands and eliminating the behavior-related prior information. Specifically, in HoldPass, we propose an adversarial neural network to achieve authentication based on unique physical features. Experiments with 10 users show that HoldPass can authenticate users with 97.39% accuracy while keeping False Accepted Rates (FAR) at a minimum of 2.1%.
- Long Huang and Chen Wang. 2021. Notification Privacy Protection via Unobtrusive Gripping Hand Verification Using Media Sounds. In Proceedings of the 27th Annual International Conference on Mobile Computing and Networking (New Orleans, Louisiana) (MobiCom '21). Association for Computing Machinery, New York, NY, USA, 491--504.Google Scholar
Digital Library
- L. Huang and C. Wang. 2022. PCR-Auth: Solving Authentication Puzzle Challenge with Encoded Palm Contact Response. In 2022 2022 IEEE Symposium on Security and Privacy (SP) (SP). IEEE Computer Society, Los Alamitos, CA, USA, 913--927.Google Scholar
- Yongzhi Huang, Kaixin Chen, Yandao Huang, Lu Wang, and Kaishun Wu. 2021. Vi-Liquid: Unknown Liquid Identification with Your Smartphone Vibration. In Proceedings of the 27th Annual International Conference on Mobile Computing and Networking (New Orleans, Louisiana) (MobiCom '21). Association for Computing Machinery, New York, NY, USA, 174--187.Google ScholarDigital Library
- Jingjie Li, Kassem Fawaz, and Younghyun Kim. 2019. Velody: Nonlinear Vibration Challenge-Response for Resilient User Authentication. In Proceedings of the 2019 ACM SIGSAC Conference on Computer and Communications Security (London, United Kingdom) (CCS '19). Association for Computing Machinery, New York, NY, USA, 1201--1213.Google ScholarDigital Library
Index Terms
- Towards behavior-independent in-hand user authentication on smartphone using vibration: poster
Recommendations
A Hand Gesture-Based Authentication Method that Makes Forgery Difficult
HCI for Cybersecurity, Privacy and TrustAbstractPhysiological biometric authentication methods such as fingerprint, face, vein, and iris authentication have become or are becoming popular. Although these methods are highly accurate, they still have the problem of poor authentication due to ...
A Hand Gesture-Based Method for Biometric Authentication
Human-Computer Interaction. Theories, Methods, and Human IssuesAbstractWith the spread of computers to ordinary people, computer security is becoming increasingly important. User authentication is one of the most important technologies for computer security. Although passwords are used in many personal computers, ...
Biometric Authentication by Handwriting Using Leap Motion
IMCOM '16: Proceedings of the 10th International Conference on Ubiquitous Information Management and CommunicationIn recent years, biometrics authentication becomes popular. No key is required in biometrics authentication while password must be remembered in password authentication. Moreover, living parts for biometrics authentication cannot be stolen with usual ...
Comments