Securing 5G Non-Public Networks Against Fake Base Station

I-Hsien Liu, Meng Huan Lee, Jung Shian Li

Research output: Contribution to journalArticlepeer-review

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 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.

Original languageEnglish
Pages (from-to)156-159
Number of pages4
JournalJournal of Robotics, Networking and Artificial Life
Volume10
Issue number2
DOIs
Publication statusPublished - 2023 Sept

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Artificial Intelligence

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