HidePrint: Protecting Device Anonymity by Obscuring Radio Fingerprints
Gabriele Oligeri, Savio Sciancalepore

TL;DR
This paper introduces HidePrint, a method that obscures radio device fingerprints by injecting controlled noise, effectively preventing device identification via radio frequency fingerprinting without significantly degrading communication quality.
Contribution
We propose HidePrint, a novel noise-injection technique that protects device anonymity against RFF-based identification while maintaining communication integrity.
Findings
Gaussian noise injection with std deviation ≥ 0.02 prevents fingerprinting
Minimal impact on SNR (0.1 dB) during fingerprint protection
Effective against various RFF techniques and adversarial models
Abstract
Radio Frequency Fingerprinting (RFF) techniques allow a receiver to authenticate a transmitter by analyzing the physical layer of the radio spectrum. Although the vast majority of scientific contributions focus on improving the performance of RFF considering different parameters and scenarios, in this work, we consider RFF as an attack vector to identify a target device in the radio spectrum. \\ We propose, implement, and evaluate {\em HidePrint}, a solution to prevent identification through RFF without affecting the quality of the communication link between the transmitter and the receiver. {\em HidePrint} hides the transmitter's fingerprint against an illegitimate eavesdropper through the injection of controlled noise into the transmitted signal. We evaluate our solution against various state-of-the-art RFF techniques, considering several adversarial models, data from real-world…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBiometric Identification and Security · Digital Media Forensic Detection · Speech and Audio Processing
