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5G Security Function and Its Testing Environment

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Information Technology for Education, Science, and Technics (ITEST 2022)

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 178))

Abstract

The data that is sent through wireless networks is quickly increasing and depends upon many factors. The most important among them is the tremendous growth in multimedia applications on mobile devices, which includes among other use cases, streaming music and video data, two-way video conferencing and social networking. The telecommunications industry is currently undergoing significant changes in order to transition to 5G networks, which will better serve existing and emerging use cases. In 2020, the world consumed approximately three trillion minutes of Internet video per month, which is equivalent to five million years of video or one million video minutes per second. This underscores the need to upgrade from 4G to 5G in order to meet customer demands for better quality of service and enhanced data transmission security to ensure stable and secure communication. The deployment of 5G services will require novel storage and processing technologies to support new networking models and efficient service deployment. However, once these technologies are in place, new problems will arise for cybersecurity of 5G systems and their functionality. 5G security is being assessed by researchers who have found that it still presents some security risks. These concerns arise from various reasons, including recent discoveries of vulnerabilities in 5G security systems. Attackers have been able to inject malicious code into the system and execute undesirable actions through attacks such as MNmap, MiTM, and Battery drain. To provide the highest levels of cybersecurity, new architectures for 5G and beyond networks should include novel AI/ML based algorithms. This paper examines the existing vulnerabilities of the 5G ecosystem and proposes a new cybersecurity function that considers machine learning algorithms. The function integrates Firewall, Intrusion Detection, and Intrusion Protection systems into an existing 5G architecture. The paper focuses on the Intrusion Detection System (IDS) and its methodology for identifying attacks such as MNmap, MiTM, and Battery drain. It also provides pseudo code for the algorithmic core and evaluates the efficiency of this approach. A test laboratory is created using a server and fifty raspberry pi hardware systems to simulate attacks on the server. The paper suggests an improvement strategy that will be implemented in future versions of the system.

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Acknowledgement

This work was supported by Shota Rustaveli National Foundation of Georgia (SRNSFG) [NFR-22-14060].

Author information

Authors and Affiliations

  1. Caucasus University, Tbilisi, Georgia

    Maksim Iavich & Giorgi Iashvili

  2. National Aviation University, Kyiv, Ukraine

    Sergiy Gnatyuk & Roman Odarchenko

  3. Scientific Cyber Security Association, Tbilisi, Georgia

    Sergei Simonov

Authors
  1. Maksim Iavich
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  2. Sergiy Gnatyuk
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  3. Giorgi Iashvili
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  4. Roman Odarchenko
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  5. Sergei Simonov
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Corresponding author

Correspondence to Giorgi Iashvili .

Editor information

Editors and Affiliations

  1. Department of Information Security and Computer Engineering, Cherkasy State Technological University, Cherkasy, Ukraine

    Emil Faure

  2. Department of Computer science and Systems Analysis, Cherkasy State Technological University, Cherkasy, Ukraine

    Olena Danchenko

  3. Department of Instrumentation, Mechatronics and Computerized Technologies, Cherkasy State Technological University, Cherkasy, Ukraine

    Maksym Bondarenko

  4. Department of Computer science and Systems Analysis, Cherkasy State Technological University, Cherkasy, Ukraine

    Yurii Tryus

  5. Department of Instrumentation, Mechatronics and Computerized Technologies, Cherkasy State Technological University, Cherkasy, Ukraine

    Constantine Bazilo

  6. Department of Software of Automated Systems, Cherkasy State Technological University, Cherkasy, Ukraine

    Grygoriy Zaspa

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Iavich, M., Gnatyuk, S., Iashvili, G., Odarchenko, R., Simonov, S. (2023). 5G Security Function and Its Testing Environment. In: Faure, E., Danchenko, O., Bondarenko, M., Tryus, Y., Bazilo, C., Zaspa, G. (eds) Information Technology for Education, Science, and Technics. ITEST 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 178. Springer, Cham. https://doi.org/10.1007/978-3-031-35467-0_39

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  • DOI: https://doi.org/10.1007/978-3-031-35467-0_39

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-35466-3

  • Online ISBN: 978-3-031-35467-0

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