Mobile User Authentication Via Deep Learning

    Mobile User Authentication Via Deep Learning

    WINLAB Summer Internship 2021

    Group Members: Aditi Satish, Daniel Liu, Sharad Prasad, Emily Gao, David Man

    Project Website

    Team, Weekly Progress & Presentations, and Code is posted on the website.

    Final Presentation

    Project Objective

    By using wireless signals as input, we can develop deep learning techniques to extract unique behavioral biometrics to perform user authentication in real-time.


    • Use of Wifi signals to capture inherited behavioral characteristics to facilitate identification/authentication.
    • Environment Dependent Solution (Robust to Placement).
    • To examine CSI of Wifi to study behavioral characteristics.
    • Develop a CNN model resilient to spoofing attacks.
    Last modified 20 months ago Last modified on Aug 7, 2021, 7:19:05 PM
    Note: See TracWiki for help on using the wiki.