Researchers at the Karlsruhe Institute of Technology (KIT) reported that ordinary Wi-Fi networks can identify individuals with nearly 100% accuracy using unencrypted signals routinely exchanged between routers and connected devices.
The findings were presented at the ACM Conference on Computer and Communications Security in Taipei, according to a KIT release dated Aug. 12, 2026. The system identified people in tests involving 197 participants, regardless of viewing angle or walking style, the researchers said. The method requires no cameras, no specialized sensors and no connected device carried by the person being observed, according to the release.
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