Use of AI technologies to ensure information security in 5G networks

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Abstract

The paper considers the current issues of artificial intelligence (AI) technologies applicationto ensure information security in 5G networks based on the analysis of standardisation of technical requirements of 3GPP, ETSI and ITU-T standardisation sector group on machine learning ML5G. It is shown that application of AI technologies to solve information security problems in 5G networks leads not only to its provision, but also to the form the new threats due to the emergence of possibility of attacks on machine learning technologies when they are introduced into these networks.

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About the authors

V. O. Tikhvinsky

МГТУ им. Н.Э.Баумана; Севастопольский государственный университет; ФГБУ НИИР

Author for correspondence.
Email: vtniir@mail.ru

д.э.н., академик РАЕН, проф.; главный научный сотрудник

Russian Federation

E. E. Devyatkin

ФГБУ НИИР

Email: deugene@list.ru

к.э.н., директор Центра исследований перспективных беспроводных технологий связи

Russian Federation

Y. Y. Smirnov

Минобороны РФ

Email: syy1969@yandex.ru

к.т.н., начальник отдела НИИ

Russian Federation

V. A. Akhmediarov

ООО "Гейзер – Телеком"

Email: v.ahmediarov@mail.ru

специалист 1-й категории

Russian Federation

References

  1. Тихвинский В.О., Терентьев С.В., Девяткин Е.Е. Применение технологий искусственного интеллекта в сетях 5G // ПЕРВАЯ МИЛЯ. 2023. № 3. С. 52−60.
  2. Тихвинский В.О., Девяткин Е.Е., Савочкин А.А., Смирнов Ю.Я., Новикова Т.В. Использование технологий искусственного интеллекта для анализа сетевых данных в базовой сети 5G // ПЕРВАЯ МИЛЯ. 2023. № 5. С. 46−55.
  3. GPP TS 33.501 Technical Specification Group Services and System Aspects; Security architecture and procedures for 5G system (Release 18). 2024.
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  5. Group Report GR SAI 009, Artificial Intelligence Computing Platform Security Framework.
  6. ETSI GS ENI 002, Experiential Networked Intelligence (ENI); ENI Requirements. Sept. 2019.
  7. FG ML5G specification: Machine Learning Sandbox for future networks including IMT-2020: requirements and architecture framework.
  8. Chafika B., Tarik T. et al. AI for Beyond 5G Networks: A Cyber-Security Defense or Offense Enabler? // IEEE Network. 2020. Vol. 34. Iss. 6. PP. 140−147.
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Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. 5G network security architecture. Source: [3]

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3. Fig.2. Functional modules for ensuring security in the CP control plane of the 5G Core network

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4. Fig. 3. Typical attacks on the architecture for machine learning in 5G networks

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Copyright (c) 2024 Tikhvinsky V.O., Devyatkin E.E., Smirnov Y.Y., Akhmediarov V.A.

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