German Researchers Identify 197 People via WiFi With Near-100% Accuracy
Updated
Updated · The Economic Times · Aug 16
German Researchers Identify 197 People via WiFi With Near-100% Accuracy
3 articles · Updated · The Economic Times · Aug 16
Summary
Ordinary WiFi signals let German researchers identify 197 participants with near-100% accuracy, even when subjects carried no phone or other WiFi-enabled device.
Beamforming feedback information from routine wireless traffic captured how bodies altered radio-wave propagation, and a machine-learning model linked those patterns to specific individuals.
The team said the system worked across different perspectives and walking styles, pushing WiFi sensing beyond detecting presence into recognizing who is in a room.
KASTEL researchers warned that unencrypted signal data could turn everyday routers into hard-to-notice surveillance tools in homes, shops and public buildings.
They urged privacy safeguards in the upcoming IEEE 802.11bf standard as WiFi evolves from communications infrastructure into a sensing network.
How will future wireless standards protect our identities when simply walking through a room leaves a permanent digital footprint?
If unencrypted WiFi signals act as invisible cameras, is true privacy in modern public spaces now completely impossible?
Could the ordinary WiFi router sitting in your living room already be secretly watching and identifying your every move?
Near-Perfect WiFi Identification (99.5%): KIT’s BFId, IEEE 802.11bf, and the Future of Surveillance
Overview
In August 2026, KIT researchers unveiled the BFId system, which uses ordinary WiFi networks to identify people with 99.5% accuracy by analyzing unique radio fingerprints created by each person's body and movement. This is possible because WiFi signals, transmitted unencrypted, can be intercepted by anyone with a standard adapter, even through walls and in darkness. As the IEEE 802.11bf standard is adopted by hardware vendors, WiFi sensing will become widespread, but the signals are nearly impossible to secure or detect, raising urgent privacy concerns that current laws and technical safeguards cannot address.