MagLive: Robust Voice Liveness Detection on Smartphones Using Magnetic Pattern Changes

Voice authentication on smartphones is vulnerable to spoofing attacks, where attackers replay recorded voice samples through loudspeakers to trick the system. MagLive is a new security method that detects whether a voice is from a real person or a loudspeaker by analyzing magnetic pattern changes (detected by the smartphone's built-in magnetometer) using a machine learning model called TF-CNN-SAF (a type of neural network designed to extract useful patterns from data).