Continuous, Dynamic User Authentication Using Mobile Touch Dynamics Based on Machine Learning

File(s)
Date
2022-04Author
DeRidder, Zach
Pelto, Brendan
Dave, Rushit
Metadata
Show full item recordAbstract
Modern user authentication measures on mobile devices often include biometric authentication (facial and fingerprint), multi-factor authentication, and password entry as ways of authenticating users. These authentication schemes can fall short of recognizing impostors after initially validating a user in a one or two-pass manner. Touch Dynamics, which continuously examines a user's behavior while using a mobile device, can offer a new method to authenticating users.
Subject
Authentication
Machine learning
Computer security
Posters
Department of Computer Science
Permanent Link
http://digital.library.wisc.edu/1793/83866Description
Color poster with text and images.