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5G Security Threat Assessment in Real Networks
Advances in mobile communication networks from 2G to 5G have brought unprecedented traffic growth, and 5G mobile communication networks are expected to be used in a variety of industries based on innovative technologies, fast not only in terms of extremely low latency but massive access devices. Var...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399903/ https://www.ncbi.nlm.nih.gov/pubmed/34450971 http://dx.doi.org/10.3390/s21165524 |
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author | Park, Seongmin Kim, Daeun Park, Youngkwon Cho, Hyungjin Kim, Dowon Kwon, Sungmoon |
author_facet | Park, Seongmin Kim, Daeun Park, Youngkwon Cho, Hyungjin Kim, Dowon Kwon, Sungmoon |
author_sort | Park, Seongmin |
collection | PubMed |
description | Advances in mobile communication networks from 2G to 5G have brought unprecedented traffic growth, and 5G mobile communication networks are expected to be used in a variety of industries based on innovative technologies, fast not only in terms of extremely low latency but massive access devices. Various types of services, such as enhanced mobile broadband (eMBB), massive machine type communication (mMTC), and ultra-reliable and low latency communication (uRLLC), represent an increase in the number of attacks on users’ personal information, confidential information, and privacy information. Therefore, security assessments are essential to verify and cope with these various attacks. In this research, we (1) looked at 5G mobile communication network backgrounds and problems to investigate existing vulnerabilities and (2) assessed the current situation through evaluation of 5G security threats in real-world mobile networks in service. |
format | Online Article Text |
id | pubmed-8399903 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-83999032021-08-29 5G Security Threat Assessment in Real Networks Park, Seongmin Kim, Daeun Park, Youngkwon Cho, Hyungjin Kim, Dowon Kwon, Sungmoon Sensors (Basel) Article Advances in mobile communication networks from 2G to 5G have brought unprecedented traffic growth, and 5G mobile communication networks are expected to be used in a variety of industries based on innovative technologies, fast not only in terms of extremely low latency but massive access devices. Various types of services, such as enhanced mobile broadband (eMBB), massive machine type communication (mMTC), and ultra-reliable and low latency communication (uRLLC), represent an increase in the number of attacks on users’ personal information, confidential information, and privacy information. Therefore, security assessments are essential to verify and cope with these various attacks. In this research, we (1) looked at 5G mobile communication network backgrounds and problems to investigate existing vulnerabilities and (2) assessed the current situation through evaluation of 5G security threats in real-world mobile networks in service. MDPI 2021-08-17 /pmc/articles/PMC8399903/ /pubmed/34450971 http://dx.doi.org/10.3390/s21165524 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Park, Seongmin Kim, Daeun Park, Youngkwon Cho, Hyungjin Kim, Dowon Kwon, Sungmoon 5G Security Threat Assessment in Real Networks |
title | 5G Security Threat Assessment in Real Networks |
title_full | 5G Security Threat Assessment in Real Networks |
title_fullStr | 5G Security Threat Assessment in Real Networks |
title_full_unstemmed | 5G Security Threat Assessment in Real Networks |
title_short | 5G Security Threat Assessment in Real Networks |
title_sort | 5g security threat assessment in real networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8399903/ https://www.ncbi.nlm.nih.gov/pubmed/34450971 http://dx.doi.org/10.3390/s21165524 |
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