WiFi routers identify people with near-perfect accuracy

Researchers have demonstrated that standard WiFi routers can identify specific individuals with nearly 100% accuracy by analyzing wireless signal disturbances. The study indicates that everyday networking equipment can function as an invisible surveillance system without requiring cameras or wearable devices. This identification method relies on unique gait and body movement patterns that disrupt radio waves in distinct ways. Because the technique uses existing infrastructure, it operates passively and cannot be detected by users. Privacy advocates warn this development fundamentally alters the threat model for domestic and public spaces. Current encryption standards protect data content but do not prevent physical layer signal analysis. The findings suggest regulatory gaps regarding non-consensual biometric collection via ambient sensing. Industry stakeholders have not yet commented on potential firmware mitigations. The research highlights dual-use risks where network optimization tools enable unauthorized tracking.