WiFi Networks Can Identify Individuals With 99.5% Accuracy, Researchers Warn of Privacy Risks
WiFi Networks Can Identify Individuals With 99.5% Accuracy, Researchers Warn of Privacy Risks
Publish Date: 2026-05-25 22:35:00
Source Domain: www.techtimes.com
Your WiFi router could reveal more than your personal information. The scariest part could be knowing that it can be used for surveillance in places where most people pass by.
Researchers at the Karlsruhe Institute of Technology (KIT) in Germany have found that standard WiFi networks can identify individuals with surprising accuracy using advanced signal analysis and machine learning.
The study suggests that everyday wireless systems may unintentionally expose personal identity patterns, raising concerns about passive surveillance in public spaces.
Beamforming Data Exposes Hidden User Information
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The research focuses on WiFi beamforming, a technology introduced with WiFi 5 that improves signal direction by targeting devices more efficiently. To support this process, connected devices send beamforming feedback information (BFI) back to routers.
The findings indicate that people can potentially be recognized without actively connecting their devices to a network.
According to the study, this feedback data is often unencrypted and can be accessed and analyzed without specialized hardware or direct network access.
Researchers found that these signal patterns contain unique behavioral markers that can be used to infer identity-related characteristics.
Machine Learning Achieves Near-Perfect Identification
The KIT team trained machine learning models using WiFi data collected from nearly 200 participants walking through a controlled signal environment. The dataset included multiple viewing angles and combined both beamforming feedback information (BFI) and channel state information (CSI).
According to Gizmodo, the results showed that the system achieved an accuracy of up to 99.5% in identifying individuals using BFI data alone.
Even CSI-based methods reached accuracy levels of 82.4%. Once…
