Detail projektu

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

Období řešení: 01.01.2023 — 31.12.2025

Zdroje financování

Ministerstvo vnitra ČR - 1 VS OPSEC

- plně financující

O projektu

Popis anglicky
Accesible software and hardware resources will allow for the rapid development and diversification of 5G networks. On the other hand, they can pose significant security risks. One of the risks identified in the Report on the cybersecurity of Open RAN, released by the NIS Cooperation Group in May 2022, is the use of 5G networks within organized crime. One of the technical means of such misuse can be, for example, identity of 5G base stations, where an attacker gains complete access to the operation of part of the network and user data. The aim of the project is to propose appropriate measures and verify the real possibility of their use to provide additional security against stoling the identity of 5G base stations, both closed networks, but especially of Open RAN networks.

Klíčová slova anglicky
mobile network cybersecurity, identity falsification

Označení

VK01030166

Originální jazyk

čeština

Řešitelé

Útvary

Ústav radioelektroniky
- příjemce (26.05.2022 - nezadáno)

Výsledky

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