METHODS FOR DYNAMIC OPTIMIZATION OF POST-QUANTUM DIGITAL SIGNATURES IN AUTHENTICATION PROTOCOLS FOR 6G ULTRA-DENSE NETWORKS

Authors

DOI:

https://doi.org/10.28925/2663-4023.2026.33.1125

Keywords:

post-quantum cryptography; cybersecurity; cyber risks; digital signature; authentication protocols; 6G networks; ultra-dense networks; dynamic optimization.

Abstract

The development of sixth-generation (6G) networks, focused on ultra-dense access scenarios, ultra-low latency, and massive connectivity of heterogeneous devices, significantly increases the requirements for authentication mechanisms and cybersecurity. An additional risk factor is the projected progress in quantum computing, which challenges the long-term security of classical cryptographic algorithms and necessitates the integration of post-quantum digital signatures into telecommunication protocols. At the same time, existing approaches to implementing post-quantum cryptography in mobile networks are primarily based on static schemes and do not account for the dynamic operating conditions of 6G ultra-dense networks. This paper investigates the problem of constructing quantum-resistant and high-performance authentication protocols for 6G networks, considering fluctuating network parameters, device heterogeneity, and constraints on computational and energy resources. It is demonstrated that the static application of post-quantum digital signatures fails to provide the necessary balance between security levels and the efficiency of authentication procedures in ultra-dense access scenarios. To overcome these limitations, a generalized methodology for the dynamic optimization of post-quantum digital signatures in 6G authentication protocols is proposed. This methodology is based on the adaptive selection of cryptographic algorithms and their parameters depending on the current network state and the resource characteristics of authenticated nodes. The developed model formalizes a mechanism for dynamic signature selection, accounting for latency, computational costs, energy consumption, and quantum resistance levels, which allows for the formulation of formal optimality criteria for 6G networks. The integration of the proposed methods into the authentication protocol forms an adaptive cryptographic architecture capable of scaling under high connection density without compromising security. Experimental simulation results for ultra-dense access scenarios confirm that dynamic optimization reduces authentication latency and energy consumption compared to static post-quantum variants, justifying the feasibility of using adaptive protocols in 6G networks. 

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References

SSL.org.ua. (n.d.). Post-quantum cryptography: Preparing for a quantum-secure future. Retrieved January 28, 2026, from https://ssl.org.ua

Novikov, D., & Poltorak, V. (2023). Technologies of post-quantum cryptography. Adaptive Automatic Control Systems, 1(42), 171-183. https://doi.org/10.20535/1560-8956.42.2023.279169

Lavryk, I. (2024).Research of post-quantum digital signature algorithms.Herald of Khmelnytskyi National University. Technical Sciences, 333(2), 361-369. https://doi.org/10.31891/2307-5732-2024-333-2-56

Vaigandla, K. K. (2025). Quantum-secure IoT networks for the 6G era: Post-quantum cryptography, blockchain integration, and trust architectures – A comprehensive review. Journal of Sensors, IoT & Health Sciences, 3(3), 44-75. https://doi.org/10.69996/jsihs.2025014

Zhyvylo, Y., & Kuchma, Y. (2025a). Deep learning model for predicting compromised accounts in security event management systems. Cybersecurity: Education, Science, Technique, 3(31), 589-601. https://doi.org/10.28925/2663-4023.2025.31.1050

Zhyvylo, Y. O., Kuchma, Y. V., & Fesenko, T. M. (2025). Mathematical modeling of an adaptive anomaly detection system based on hybrid neural network architectures. In Modern aspects of science: LXII. International collective monograph (pp. 407-456). Mezinárodní Ekonomický Institut. http://perspectives.pp.ua/public/site/mono/mono-62.pdf

Zhyvylo, Y., & Kuchma, Y. (2025b). Mathematical modeling of intellectual and cryptographic protection of authentication keys. Information Technology and Security, 13(2), 162-177. https://doi.org/10.20535/2411-1031.2025.13.2.344591

Krasnobayev, V., et al. (2019). Correction codes in the system of residual classes. In Proceedings of the IEEE International Scientific-Practical Conference on Problems of Infocommunications, Science and Technology (PIC S&T 2019). https://doi.org/10.1109/PICST47496.2019.9061253

Zhyvylo, Y., & Kuchma, Y. (2025c). Practical application and vulnerabilities of the Hill cipher in a modern context. Systems of Control, Navigation and Communication, 4(78), 66-69. https://doi.org/10.26906/SUNZ.2025.4.066

Shyshatskyi, A. (Ed.). (2024). The development of management methods based on bio-inspired algorithms: Information and control systems: Modelling and optimizations (pp. 35-69). Technology Center PC. https://doi.org/10.15587/978-617-8360-04-7

Fesenko, T., & Kalashnikova, Y. (2025a). Federative GNN-XAI model for predicting compromise of account records in zero trust environment. Cybersecurity: Education, Science, Technique, 3(31), 602-619. https://doi.org/10.28925/2663-4023.2025.31.1049

Fesenko, T., & Kalashnikova, Y. (2025b). Mathematical aspects of the combined application of the AES algorithm and steganographic methods in authentication key protection. Information Technology and Security, 13(2), 178-191. https://doi.org/10.20535/2411-1031.2025.13.2.344592

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Published

2026-06-25

How to Cite

Kuchma, Y., Polinovskyi, V., & Plakhtii, M. (2026). METHODS FOR DYNAMIC OPTIMIZATION OF POST-QUANTUM DIGITAL SIGNATURES IN AUTHENTICATION PROTOCOLS FOR 6G ULTRA-DENSE NETWORKS. Electronic Professional Scientific Journal «Cybersecurity: Education, Science, Technique», 1(33), 156–164. https://doi.org/10.28925/2663-4023.2026.33.1125