Skip to main content
U.S. flag

An official website of the United States government

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.

Robust Measurements for RF Fingerprinting with Constellation Patterns of Radiated Waveforms

Published

Author(s)

Ameya Ramadurgakar, Jake Rezac, Lennart Heijnen, Kate Remley, Dylan Williams, MELINDA PIKET-MAY, Rob Horansky

Abstract

We introduce a type of RF fingerprint for nondestructive, cellular device identification. The new fingerprinting algorithm, termed Eigenphones, is a data-driven technique based on a singular value decomposition of a user equipment's symbol-constellation points. We explore the effectiveness of the fingerprint technique with a test set of real devices and show, experimentally, that this fingerprint metric is robust to device positioning errors and measurement noise.
Proceedings Title
2023 IEEE Physical Assurance and Inspection of Electronics (PAINE)
Conference Dates
October 25-27, 2023
Conference Location
Huntsville, AL, US

Keywords

RF Fingerprinting, Over the Air Measurements, Supply Chain Security

Citation

Ramadurgakar, A. , Rezac, J. , Heijnen, L. , Remley, K. , Williams, D. , Piket-May, M. and Horansky, R. (2023), Robust Measurements for RF Fingerprinting with Constellation Patterns of Radiated Waveforms, 2023 IEEE Physical Assurance and Inspection of Electronics (PAINE), Huntsville, AL, US, [online], https://doi.org/10.1109/PAINE58317.2023.10318021, https://tsapps.nist.gov/publication/get_pdf.cfm?pub_id=956276 (Accessed June 22, 2024)

Issues

If you have any questions about this publication or are having problems accessing it, please contact reflib@nist.gov.

Created November 20, 2023, Updated December 22, 2023