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A recent study by the Karlsruhe Institute of Technology has revealed that ordinary Wi-Fi networks can be used as covert surveillance tools. These networks allow for the identification of individuals and the precise tracking of their movements without the need for cameras or internet-connected devices, simply by analyzing the radio waves emitted by nearby devices. The technology leverages unencrypted signals to enhance wireless communication and employs machine learning models to recognize individuals with nearly 100% accuracy within seconds, regardless of the observer's angle or the person's direction. This discovery raises significant privacy concerns, especially in public and sensitive locations, where networks could be exploited for unseen monitoring. It underscores the urgent need to establish strict protective standards before the adoption of the IEEE 802.11bf standard, which aims to transform Wi-Fi signals into sensitive tools for surveillance, movement detection, and gesture recognition.
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