Detail výsledku

Deep Learning-Based Radio Frequency Identification of False Base Stations

BOLCEK, J.; KUFA, J.; HARVÁNEK, M.; POLÁK, L.; KRÁL, J.; MARŠÁLEK, R. Deep Learning-Based Radio Frequency Identification of False Base Stations. In 2023 Workshop on Microwave Theory and Technology in Wireless Communications (MTTW). Riga, Latvia: IEEE, 2023. p. 45-49. ISBN: 979-8-3503-9349-1.
Typ
článek ve sborníku konference
Jazyk
angličtina
Autoři
Bolcek Jan, Ing., UREL (FEKT)
Kufa Jan, Ing., Ph.D., UREL (FEKT)
Harvánek Michal, Ing., Ph.D., UREL (FEKT)
Polák Ladislav, doc. Ing., Ph.D., UREL (FEKT)
Král Jan, Ing., Ph.D., UREL (FEKT)
Maršálek Roman, prof. Ing., Ph.D., UREL (FEKT)
Abstrakt

Advances in mobile and wireless communications allow to handle the continuously increasing demands on the data volume and connectivity of users. The 5G Open Radio Access Network (RAN) concept offers a flexible and inter-operable solution enabling network operators to select equipment from different vendors. However, such a step can potentially increase security risks due to emergence of the false base stations (FBS) operated with a purpose to steal private information about mobile equipment users. In this paper, we introduce a simple deep-learning (DL) based classification method, working directly with In-phase and Quadrature (I/Q) data of a radio frequency (RF) signal, to identify a device working as FBS. To operate the legitimate as well as the FBS, the srsRAN open-source software suite from Software Radio Systems (SRS), connected to three distinct software defined radio (SDR) devices, is used.

Klíčová slova

5G Open RAN, 4G/5G SRS RAN, Deep Learning, RF measurement, I/Q-data

URL
Rok
2023
Strany
45–49
Sborník
2023 Workshop on Microwave Theory and Technology in Wireless Communications (MTTW)
Konference
IEEE Microwave Theory and Techniques in Wireless Communications (MTTW)
ISBN
979-8-3503-9349-1
Vydavatel
IEEE
Místo
Riga, Latvia
DOI
10.1109/MTTW59774.2023.10320078
EID Scopus
2-s2.0-85179550671
BibTeX 
@inproceedings{BUT185786,
  author="Jan {Bolcek} and Jan {Kufa} and Michal {Harvánek} and Ladislav {Polák} and Jan {Král} and Roman {Maršálek}",
  title="Deep Learning-Based Radio Frequency Identification of False Base Stations",
  booktitle="2023 Workshop on Microwave Theory and Technology in Wireless Communications (MTTW)",
  year="2023",
  pages="45--49",
  publisher="IEEE",
  address="Riga, Latvia",
  doi="10.1109/MTTW59774.2023.10320078",
  isbn="979-8-3503-9349-1",
  url="https://ieeexplore.ieee.org/document/10320078"
}
Pracoviště
Ústav radioelektroniky (UREL)
Nahoru