METHODS FOR BUILDING SECURE COMMUNICATION CHANNELS FOR IOT DEVICES IN FIFTH-GENERATION NETWORKS

DOI: 10.31673/2786-8362.2025.028237

Abstract

The article is devoted to the study of approaches to building secure communication channels for IoT devices
in fifth-generation networks. The characteristic threat vectors inherent in heterogeneous 5G-IoT
environments are considered, in particular, device substitution, Man-in-the-Middle attacks, DoS/DDoS
overload and unauthorized access through weak authentication mechanisms. An architecture for IoT node
interaction via the IoT Gateway using Network Slicing, Edge Computing and security mechanisms defined
in 3GPP TS 33.501 technologies is proposed. A model of a secure data exchange channel in a 5G-IoT
environment is developed. The use of a hybrid cryptographic approach that combines AES-128 with
dynamic key generation based on ECC is justified. The developed multi-level authentication algorithm is
supplemented with the use of cryptographic fingerprints of devices. The simulation showed a 20–25%
reduction in authentication latency and a reduction in computational costs, which confirms the effectiveness
of the proposed model for application in smart city systems, industrial IoT, and critical infrastructure.
Keywords: 5G-IoT, secure data exchange model, multi-level authentication algorithm, AES-128/ECC
cryptographic method, Network Slicing

References
1. Sebestyen H., Popescu D. E., Zmaranda R. D. A literature review on security in the internet of
things: identifying and analysing critical categories. Computers. 2025. Vol. 14, no. 2. P. 61.
URL: https://doi.org/10.3390/computers14020061
2. Rajesh Kumar, Neha Gupta, Arun Mehta. A comparative analysis of cryptographic algorithms
for secure data transmission in 5G networks. International journal of information engineering and
science. 2024. Vol. 1, no. 2. P. 08–12. URL: https://doi.org/10.62951/ijies.v1i2.88 (date of access:
06.12.2025).
3. 5G network slicing: security challenges, attack vectors, and mitigation approaches / J. Dias et
al. Sensors. 2025. Vol. 25, no. 13. P. 3940. URL: https://doi.org/10.3390/s25133940
4. A lightweight authentication scheme for power iot based on PUF and chebyshev chaotic map /
X. Jin et al. IEEE access. 2024. P. 1. URL: https://doi.org/10.1109/access.2024.3413853
5. Almarri S., Aljughaiman A. Blockchain technology for iot security and trust: A comprehensive
SLR. Sustainability. 2024. Vol. 16, no. 23. P. 10177. URL: https://doi.org/10.3390/su162310177
6. Ejeofobiri C. K., Victor-Igun O. O., Okoye C. AI-Driven secure intrusion detection for
internet of things (IOT) networks. Asian journal of mathematics and computer research. 2024.
Vol. 31, no. 4. P. 40–55. URL: https://doi.org/10.56557/ajomcor/2024/v31i48971
7. Alsabbagh W. MQTT Protocol in Industrial Internet of Things: Today Challenges and
Tomorrow Solutions. A Peter Langendoerfer's Lab. 2021. Vol. 14, no. 8. P. 1–31.
URL: https://doi.org/10.13140/RG.2.2.18668.42885
8. Systematic Literature Review on 5G-IoT Security Aspects / D. Valadares et al. Preprints.
2023. URL: https://doi.org/10.20944/preprints202311.0565.v1
9. Enhancing IoT security: assessing instantaneous communication trust to detect man-in-themiddle attacks / R. Basri et al. Future generation computer systems. 2025. P. 107714.
URL: https://doi.org/10.1016/j.future.2025.107714
10. Problems and security threats to iot devices / I. Opirskyy et al. Cybersecurity: education,
science, technique. 2021. Vol. 3, no. 11. P. 31–42. URL: https://doi.org/10.28925/2663-
4023.2021.11.3142
11. Alotaibi A., Aldawghan H., Aljughaiman A. A review of the authentication techniques for
internet of things devices in smart cities: opportunities, challenges, and future directions. Sensors.
2025. Vol. 25, no. 6. P. 1649. URL: https://doi.org/10.3390/s25061649
12. Security architecture and procedures for 5G System. 3GPP Portal.
URL: https://portal.3gpp.org/desktopmodules/Specifications/SpecificationDetails.aspx?specificatio
nId=3169