Journal of Robotics, Networking and Artificial Life
Online ISSN : 2352-6386
Print ISSN : 2405-9021
Securing 5G Non-Public Networks Against Fake Base Station
I-Hsien LiuMeng-Huan LeeJung-Shian Li
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JOURNAL OPEN ACCESS

2023 Volume 10 Issue 2 Pages 156-159

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Abstract
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 research paper 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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© 2023 ALife Robotics Corporation Ltd.

この記事はクリエイティブ・コモンズ [表示 - 非営利 4.0 国際]ライセンスの下に提供されています。
https://creativecommons.org/licenses/by-nc/4.0/deed.ja
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