IMPROVING THE EFFICIENCY OF WIRELESS INFORMATION AND COMMUNICATION SYSTEMS IN THE FACE OF INTERFERENCE AND CYBERATTACKS
DOI:
https://doi.org/10.28925/2663-4023.2026.34.1342Keywords:
interference resilience, information transmission, load balancing, functional resilience, information security, cyber impact, cyberattacks, adaptive control, quality of service, network resources.Abstract
The volume of information transmitted by people is growing. More people are using mobile phones. Technology is changing. It is important that wireless information and communication systems (ICS) operate continuously. This can be ensured by maintaining high resilience to interference, destructive disruptions, and targeted cyberattacks. It is also important that communication remains constantly available and uninterrupted. This is necessary even when external or internal problems arise, including cyberattacks on network components. The aim of this work is to develop an approach for improving wireless information and communication systems, even in the presence of interference and threats to information security. This work presents modern approaches to enhancing the functional resilience of wireless information and communication systems through the integrated use of load balancing methods, adaptive network resource management, error-correcting coding, intelligent analysis of transmission channel parameters, cyberattack detection mechanisms, and modern network architectures. The idea is to use software-defined networking technologies, edge computing, and machine learning algorithms to optimize information transmission processes and detect cyberattacks in communication systems. The paper examines the key factors that influence the operation of wireless networks. Existing methods for assessing the risks of losing access to communication services due to interference and cyberattacks are analyzed. A comprehensive approach is proposed to make better use of network resources and counter threats. The practical application of these approaches will make it possible to improve the availability of communication services, reduce the impact of various interferences and cyberattacks, optimize the use of information transmission channels, and ensure an adequate level of reliability and security for modern information and communication systems.
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References
Al-Jawad, A., Shah, P., Toseef, U. (2021). Deep reinforcement learning for dynamic routing in software-defined networks. IEEE Access, 9, 122818–122833.
Tolіupa, S.V. Intrusion Detection Systems and the Functional Resilience of Distributed Information Systems to Cyber Threats / Lukova-Chuyko, N.V., S.V. Tolyupa, V.S. Nakonechny, Brailovsky, M.M.: monograph. Kyiv: Format, 2021. – 407 pp.
Swain, S., Sahoo, K. S., Mishra, A., Jhanjhi, N. Z., Humayun, M. (2023). Intelligent traffic engineering with security enforcement in Software-Defined Networks. IEEE Access, 11, 23410–23425.
V. M. Dzhuliy, Yu. P. Klyots, B. C. Orlenko [et al.] / Improving the Functionality and Stability of Interference-Resistant Wireless Information and Communication Systems // Bulletin of Khmelnytskyi National University. Technical Sciences. – 2021. – No. 1. – pp. 12–16.
Lemeshko, O. V., Yeremenko, O. S., Nevzorova, O. S. (2021). A model of adaptive routing in Software-Defined Networks that meets quality-of-service requirements. Telecommunications and Information Technologies, (1), 45–56/
Tang, F., Mao, B., Zubair, M., Kato, N. (2021). Joint power and resource allocation for ultra-reliable low-latency communication in 6G: A deep reinforcement learning approach. IEEE Wireless Communications, 28(2), 24–31.
Shah S. D. A., Gregory M. A., Bouhafs F., Den Hartog F. Artificial Intelligence-Defined Wireless Networking for Computational Offloading and Resource Allocation in Edge Computing Networks // IEEE Open Journal of the Communications Society. 2024. Vol. 5. P. 2039–2057.
Pirayesh, H., Zeng, H. (2022). Jamming attacks and anti-jamming strategies in wireless networks: A comprehensive survey. IEEE Communications Surveys & Tutorials, 24(2), 767–809.
Lemeshko, O. V., Yeremenko, O. S., and Vaavenko, A. V. (2022). A comprehensive model of adaptive routing and ensuring the resilience of telecommunications networks against cyberattacks. Information Security, 24(2), 89–101.
Popovskyi, V. O., Loshakov, V. A., Klyapchuk, M. V. (2021). Intelligent methods for resource management under conditions of destructive influences and interference. Telecommunications and Information Technologies, (3), 12–23
Ruslan Politansky, Valentin Lesinsky, Serhiy Halyuk, Andriy Kulko. Methods for Determining the Equilibrium State of a Network with Given Flows at Nodes of Information Networks in Cyber-Physical Systems. (2025). Security of Information Systems and Technologies, 1(9), 93–101. https://doi.org/10.17721/ISTS.2025.9.93-101.
Alhashimi, H. F., Hindia, M. N., Nguyen, Q. N. (2023). A survey on resource management for 6G heterogeneous networks: Current research, future trends, and challenges. Electronics, 12(3), 647.
Natalia Lukova-Chuyko, Serhiy Tolyupa, Ivan Parkhomenko. Methods for Detecting Intrusions in Modern IDS Systems. (2021). Security of Information Systems and Technologies, 1(5), 19–26. https://doi.org/10.17721/ISTS.2021.1.17-24.
Lemeshko, O. V., Yeremenko, O. S., Rodionov, A. V. (2021). A Model for Ensuring the Survivability and Resilience of Wireless Communication Networks Under Destructive Influences. Telecommunications and Information Technologies, (4), 15–28.
Serhii Tolіupa, Anatolii Shevchenko, Andrii Kulko. Features of Ensuring the Security of Critical Infrastructure. (2024). Security of Information Systems and Technologies, 1(7), 11–23.
Kreutz, D., Ramos, F. M., Verissimo, P. E., Rothenberg, C. E., Siamwalla, S., Uhlig, S. (2015). Software-defined networking: A comprehensive survey. Proceedings of the IEEE, 103(1), 14–76.
Al-Jawad, A., Shah, P., Toseef, U. (2021). Deep reinforcement learning for dynamic routing in software-defined networks. IEEE Access, 9, 122818–122833.
Berkman, L. N., Zakharchenko, M. V., Skrypnyk, O. V. (2022). Models and methods for enhancing the security and resilience of software-configurable networks. Information Security, 24(1), 35–46.
Yuriy Kravchenko, Olena Fison. A Method for Ensuring the Functional Resilience of Software-Defined Networks Under Cyberattacks. (2025). Information Systems and Technology Security, 2(10), 83–95. https://doi.org/10.17721/ISTS.2025.10.83-95.
Verma S., Rodrigues T. K., Kawamoto Y., Fouda M. M., Kato N. A Survey on Multi-AP Coordination Approaches over Emerging WLANs: Future Directions and Open Challenges. 2023. arXiv:2306.04164.
Sterbenz, J. P., Hutchison, D., Çetinkaya, E. K., Jabbar, A., Simpson, S., White, Y., & Mauthe, A. (2010). Resilience and survivability in communication networks: Strategies, principles, and survey of disciplines. Computer Networks, 54(8), 1245–1265.
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Copyright (c) 2026 Вікторія Орленко, Сергій Толюпа, Андрій Кулько
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