Project detail

Krádeže identity základnových stanic v kontextu Open RAN: Kybernetická odonost 5G sítí založená na ověřování parametrů fyzické vrstvy

Duration: 01.01.2023 — 31.12.2025

Funding resources

Ministerstvo vnitra ČR - 1 VS OPSEC

- whole funder

Mark

VK01030166

Default language

Czech

People responsible

Blumenstein Jiří, doc. Ing., Ph.D. - fellow researcher
Bolcek Jan, Ing. - fellow researcher
Hanus Stanislav, prof. Ing., CSc. - fellow researcher
Harvánek Michal, Ing., Ph.D. - fellow researcher
Kufa Jan, Ing., Ph.D. - fellow researcher
Maršálek Roman, prof. Ing., Ph.D. - fellow researcher
Šimka Marek, Ing. - fellow researcher
Urbanec Tomáš, Ing., Ph.D. - fellow researcher
Vychodil Josef, Ing., Ph.D. - fellow researcher
Polák Ladislav, doc. Ing., Ph.D. - principal person responsible

Units

Department of Radio Electronics
- (2022-05-26 - not assigned)

Results

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.
Detail