TY - JOUR
T1 - Securing 5G Non-Public Networks Against Fake Base Station
AU - Liu, I-Hsien
AU - Lee, Meng Huan
AU - Li, Jung Shian
N1 - Publisher Copyright:
© 2023, ALife Robotics Corporation Ltd. All rights reserved.
PY - 2023/9
Y1 - 2023/9
N2 - Various industries have adopted 5G Non-Public Networks to take advantage of improved connectivity while remaining separate from public networks. As these networks support private operations, they demand stringent security measures to prevent potential harm. This researchpaper focuses on securing 5G non-public networks against fake base station attacks, which pose a significant threat to the security of mobile networking. The study analyzes the risks associated with fake base stations and reviews various protection methods. Our findings underscore the importance of deploying effective countermeasures to mitigate the threats posed by fake base stations in 5G Non-Public Networks.
AB - Various industries have adopted 5G Non-Public Networks to take advantage of improved connectivity while remaining separate from public networks. As these networks support private operations, they demand stringent security measures to prevent potential harm. This researchpaper focuses on securing 5G non-public networks against fake base station attacks, which pose a significant threat to the security of mobile networking. The study analyzes the risks associated with fake base stations and reviews various protection methods. Our findings underscore the importance of deploying effective countermeasures to mitigate the threats posed by fake base stations in 5G Non-Public Networks.
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U2 - 10.57417/jrnal.10.2_156
DO - 10.57417/jrnal.10.2_156
M3 - Article
AN - SCOPUS:85194235903
SN - 2405-9021
VL - 10
SP - 156
EP - 159
JO - Journal of Robotics, Networking and Artificial Life
JF - Journal of Robotics, Networking and Artificial Life
IS - 2
ER -