US EditionWhoFi: Unique 'fingerprint' based on Wi-Fi interactions
ROME, ITALY, JUL 22 – WhoFi achieves up to 95.5% accuracy in identifying individuals by analyzing unique biometric distortions in Wi-Fi signals, enabling tracking without requiring devices on persons.
- Recently, researchers introduced WhoFi at La Sapienza University of Rome, Italy, claiming it re-identifies individuals across locations by analyzing Wi-Fi signal distortions even if they aren’t carrying a phone.
- Following the IEEE 802.11bf approval in 2020, the Wi-Fi Alliance promoted sensing capabilities, as EyeFi technique achieved about 75% accuracy in 2020.
- Through CSI analysis, signal distortions contain biometric data, as said by authors, demonstrating Wi-Fi sensing's potential for accurate person identification.
- Beyond security, Wi-Fi-based identification systems can potentially track private residences and personal movements, raising privacy concerns.
- The team envisions deploying the system beyond lab walls, indicating significant implications given Wi-Fi’s ubiquity in public and private spaces.
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WhoFi is a new technology that has the ability to track people via WiFi. It is more accurate and detects where each person is located as if it were a radar.
·Madrid, Spain
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Have you ever left your phone at home because you were afraid of being watched? You'd rather leave yourself at home.
This is just experimental research, there's no real danger to you yet, but Italian scientists from the Department of Computer Science at La Sapienza University in Rome have managed to prove that everyone has their own unique way of influencing the Wi-Fi signal around them. Even without cameras, you can still...
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Leaning Left1Leaning Right0Center3Last UpdatedBias Distribution75% Center
Bias Distribution
- 75% of the sources are Center
75% Center
L 25%
C 75%
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