Survey on 5G Physical Layer Security Threats and Countermeasures.
4G
5G
Physical Layer (PHY)
eavesdropping
jamming
localization
machine learning
security vulnerabilities
spoofing
Journal
Sensors (Basel, Switzerland)
ISSN: 1424-8220
Titre abrégé: Sensors (Basel)
Pays: Switzerland
ID NLM: 101204366
Informations de publication
Date de publication:
26 Aug 2024
26 Aug 2024
Historique:
received:
08
07
2024
revised:
11
08
2024
accepted:
12
08
2024
medline:
14
9
2024
pubmed:
14
9
2024
entrez:
14
9
2024
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 39275434
pii: s24175523
doi: 10.3390/s24175523
pii:
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Subventions
Organisme : Ministry of the Interior
ID : VJ03030044