Survey on 5G Physical Layer Security Threats and Countermeasures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F24%3APU152149" target="_blank" >RIV/00216305:26220/24:PU152149 - isvavai.cz</a>
Result on the web
<a href="https://www.mdpi.com/1424-8220/24/17/5523" target="_blank" >https://www.mdpi.com/1424-8220/24/17/5523</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.3390/s24175523" target="_blank" >10.3390/s24175523</a>
Alternative languages
Result language
angličtina
Original language name
Survey on 5G Physical Layer Security Threats and Countermeasures
Original language description
With the expansion of wireless mobile networks into both the daily lives of individuals as well as into the widely developing market of connected devices, communication is an increasingly attractive target for attackers. As the complexity of mobile cellular systems grows and the respective countermeasures are implemented to secure data transmissions, the attacks have become increasingly sophisticated on the one hand, but at the same time the system complexity can open up expanded opportunities for security and privacy breaches. After an in-depth summary of possible entry points to attacks to mobile networks, this paper first briefly reviews the basic principles of the physical layer implementation of 4G/5G systems, then gives an overview of possible attacks from a physical layer perspective. It also provides an overview of the software frameworks and hardware tool-software defined radios currently in use for experimenting with 4G/5G mobile networks, and it discusses their basic capabilities. In the final part, the paper summarizes the currently most promising families of techniques to detect illegitimate base stations-the machine-learning-based, localization-based, and behavior-based methods.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20202 - Communication engineering and systems
Result continuities
Project
<a href="/en/project/VJ03030044" target="_blank" >VJ03030044: Robust 5G networks</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
SENSORS
ISSN
1424-8220
e-ISSN
1424-3210
Volume of the periodical
24
Issue of the periodical within the volume
17
Country of publishing house
CH - SWITZERLAND
Number of pages
40
Pages from-to
1-40
UT code for WoS article
001311579300001
EID of the result in the Scopus database
2-s2.0-85203867786