wiki:Other/Summer/2021/MobileUserAuthenticationViaDeepLearning

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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.

    ​https://sites.google.com/view/mobileuserauthentication

    Final Presentation

    ​https://docs.google.com/presentation/d/1plBITCWYjjxvuRiupZSWg_G6ukwCNL__e8edlOeRl_w/edit?usp=sharing

    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.

    Objectives:

    • 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.
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