Stay Connected, Leave no Trace: Enhancing Security and Privacy in WiFi via Obfuscating Radiometric Fingerprints

The intrinsic hardware imperfection of WiFi chipsets manifests itself in the transmitted signal, leading to a unique radiometric (radio frequency) fingerprint. This fingerprint can be used as an additional means authentication enhance security. In this paper, we prove analytically and experimentally that these solutions are highly vulnerable impersonation attacks. We also demonstrate such device-specific signature abused track devices, thus violating privacy. propose RF-Veil, fingerprinting solution is not only robust against attacks but effective protecting privacy by obfuscating transmitter for non-legitimate receivers. Specifically, introduce randomized pattern phase errors signal intended receiver extract original transmitter. series experiments analyses, expose vulnerability adopting naive randomization statistical countermeasures. Finally, show efficacy RF-Veil user enhancing More importantly, our proposed allows communicating with other which do employ RF-Veil.