Learning to fingerprint: physical layer identification

  • Cyrille Morin
  • Thibaut Vial
  • Jakob Hoydis
  • Leonardo S. Cardoso INSA Lyon
  • Jean Marie Gorce INSA Lyon

Abstract

We investigate the use of a neural network to identify the transmitter of a random modulated message, without any preamble or identifying code. The Cognitive Radio Testbed (FIT/CorteXlab) is used to collect experimental datasets in a reproducible way to train the neural network.

Published
2021-01-02
How to Cite
MORIN, Cyrille et al. Learning to fingerprint: physical layer identification. Proceedings of the GNU Radio Conference, [S.l.], v. 1, n. 1, jan. 2021. Available at: <https://pubs.gnuradio.org/index.php/grcon/article/view/81>. Date accessed: 07 dec. 2021.