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

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    File(s)
    DeRidderSpr22.pdf (285.8Kb)
    Date
    2022-04
    Author
    DeRidder, Zach
    Pelto, Brendan
    Dave, Rushit
    Metadata
    Show full item record
    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.
    Subject
    Authentication
    Machine learning
    Computer security
    Posters
    Department of Computer Science
    Permanent Link
    http://digital.library.wisc.edu/1793/83866
    Description
    Color poster with text and images.
    Part of
    • Student Research Day

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