Accessibility notice:
If you need help accessing this archived item, Ask a Librarian.
Continuous, Dynamic User Authentication Using Mobile Touch Dynamics Based on Machine Learning
Loading...
Date
Authors
DeRidder, Zach
Pelto, Brendan
Dave, Rushit
Advisors
License
DOI
Type
Presentation
Journal Title
Journal ISSN
Volume Title
Publisher
Grantor
Abstract
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.
Description
Color poster with text and images.
Related Material and Data
Citation
Sponsorship
University of Wisconsin--Eau Claire Office of Research and Sponsored Programs