Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning

Author:

Mallet Jacob1,Pryor Laura1,Dave Rushit1,Seliya Naeem1,Vanamala Mounika1,Sowells-Boone Evelyn2

Affiliation:

1. University of Wisconsin - Eau Claire,Department of Computer Science,Eau Claire,WI,USA

2. North Carolina A&T State University,Department of Computer Science,Greensboro,NC,USA

Funder

University of Wisconsin-Eau Claire's

Publisher

IEEE

Cited by 9 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Dynamic swipe gestures based Continuous Authentication using similarity learning;Proceedings of the 7th International Conference on Networking, Intelligent Systems and Security;2024-04-18

2. The utility of behavioral biometrics in user authentication and demographic characteristic detection: a scoping review;Systematic Reviews;2024-02-08

3. A Survey of Behavioral Biometric Authentication on Smartphones;2023 4th International Conference on Machine Learning and Computer Application;2023-10-27

4. Your Identity is Your Behavior - Continuous User Authentication based on Machine Learning and Touch Dynamics;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19

5. Hybrid Deepfake Detection Utilizing MLP and LSTM;2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME);2023-07-19

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