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Hold On and Swipe: A Touch-Movement Based Continuous Authentication Schema based on Machine Learning. (arXiv:2201.08564v1 [cs.CR])
Jan. 24, 2022, 2:10 a.m. | Rushit Dave, Naeem Seliya, Laura Pryor, Mounika Vanamala, Evelyn Sowells, Jacob mallet
cs.LG updates on arXiv.org arxiv.org
In recent years the amount of secure information being stored on mobile
devices has grown exponentially. However, current security schemas for mobile
devices such as physiological biometrics and passwords are not secure enough to
protect this information. Behavioral biometrics have been heavily researched as
a possible solution to this security deficiency for mobile devices. This study
aims to contribute to this innovative research by evaluating the performance of
a multimodal behavioral biometric based user authentication scheme using touch
dynamics and …
More from arxiv.org / cs.LG updates on arXiv.org
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