Researchers at KASTEL have developed a method to identify individuals using standard, unmodified Wi-Fi routers, achieving nearly 100% accuracy without requiring cameras or specialized sensing equipment.

Key Points

• KASTEL researchers at the Karlsruhe Institute of Technology successfully identified 197 volunteers using only standard Wi-Fi beamforming feedback signals.
• The system functions by analyzing radio wave propagation to create images of people, effectively turning routers into invisible surveillance tools.
• Identification remains possible even if individuals do not carry Wi-Fi-enabled devices, as the system utilizes signals from other active devices in the vicinity.
• Unlike CCTV or video doorbells, this wireless surveillance method leaves no visible trace, making it difficult for subjects to detect or avoid.
• Researchers are urging the inclusion of privacy safeguards in the upcoming IEEE 802.11bf wireless standard to prevent potential misuse.

Why it Matters

This technology transforms ubiquitous wireless networks into an invisible, comprehensive surveillance infrastructure that operates without user consent or specialized hardware. The findings highlight a significant privacy risk, prompting calls for industry-wide security standards to protect individuals from covert tracking in public and private spaces.