Researchers Warn of WiFi 7 Routers as 'A Potential Means for Surveillance' (gizmodo.com)

Researchers from the Karlsruhe Institute of Technology (KIT) have revealed that WiFi networks, particularly those using WiFi 7 routers, can be harnessed for surprisingly accurate identification of individuals within their range. By utilizing beamforming feedback information (BFI) through machine learning models, the team achieved a staggering 99.5% accuracy in recognizing people. This technique relies on unencrypted feedback sent to routers, which could enable anyone within the network's vicinity to be identified—even those without connected devices—prompting significant concerns about privacy and surveillance capabilities inherent in WiFi technology. The implications of this study are profound for the AI and machine learning community, as it demonstrates how everyday technologies can be repurposed for surveillance without requiring advanced hardware. Through the process of WiFi sensing, which involves analyzing the behavior of radio signals as they interact with objects and people, researchers were able to develop a system that effectively creates images of environments and identifies individuals. Julian Todt, a co-author of the study, cautions that this technology could allow individuals to be tracked unnoticed in various public spaces. The research team is advocating for the IEEE to implement stronger privacy safeguards in upcoming standards to protect against potential misuse of this rapidly advancing technology.