Researchers Issue Warning About Tech That Could Turn Every Router ‘Into a Potential Means for Surveillance’
Researchers from the Karlsruhe Institute of Technology have revealed that ordinary WiFi networks can accurately identify individuals using beamforming feedback information and machine learning. Their study demonstrated a 99.5% accuracy rate in identifying people within a network's range, even if they do not have connected devices. The researchers are calling for stronger privacy protections in future WiFi standards to prevent potential surveillance.
- ▪The study found that WiFi networks can identify individuals with 99.5% accuracy using beamforming feedback information.
- ▪This method can identify people even without connected devices as long as they are within the network's range.
- ▪Researchers are urging the IEEE to implement stronger privacy safeguards in the upcoming 802.11bf standard.
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Researchers at the Karlsruhe Institute of Technology (KIT) in Germany say ordinary WiFi networks can be used to identify people with an eerie amount of accuracy. In a study, the researchers describe using beamforming feedback information (BFI) and machine learning models to identify people walking within a network’s range. The team found that this BFI-based technique was able to infer a person’s identity with 99.5% accuracy. They presented their findings at the ACM’s Conference on Computer and Communications Security last…
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