Learning to fingerprint: physical layer identification
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: 25 apr. 2024.
Section
Articles
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