[[TOC(Other/Summer/2021/MobileUserAuthenticationViaDeepLearning/*, depth=1, heading=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.