Adaptive pseudo-random reconfiguration of the operating frequency with information-extreme control for protected unmanned networks
Abstract
The article explores the issue of the vulnerability of unmanned aerial vehicle (UAV) communication channels under conditions of active use of electronic warfare (EW) systems. Modern unmanned systems are increasingly becoming targets of deliberate attacks, including traffic interception and modification, jamming of control signals, data spoofing, or launching destructive cyberattacks on communication channels. To ensure the reliability, security, and continuity of communication between the UAV and the ground control station, the authors propose a multi-level adaptive protection architecture that includes several complementary components: adaptive pseudo-random frequency hopping (FHSS), software-defined networks (SDN/NFV), embedded IDS/IPS attack detection systems, and hardware trust modules. The use of logistic mapping and a normalized information criterion of information-extreme learning allows for dynamic control of FHSS sequences, taking into account the channel state and threat level. The SDN controller, through flexible network management, monitors the channels, detects signs of attacks or instability, and reconfigures data transmission routes in real time. The results of experimental studies confirm the effectiveness of the proposed solution — signal processing delay was only 8–12 ms, which is acceptable for critical control tasks, and fluctuations in the packet delivery ratio (PDR) during adaptive channel switching did not exceed 5%, indicating the system’s stability and resilience even under active electronic interference. The combination of information-extreme control, adaptive FHSS, and flexible SDN/NFV architecture creates an effective system for countering EW and cyber threats. The proposed approach not only increases the survivability and availability of communication channels but also helps preserve the accuracy of machine learning (ML) recognition models operating onboard the UAV, which is critically important for carrying out combat or reconnaissance missions in hostile environments.
References
2. X. Tian, H. Han, X. Niu, and X. Liu, “Construction of Optimal Frequency Hopping Sequence Set with Low-Hit-Zone,” Entropy, vol. 25, no. 7, p. 1044, July 2023
3. T. Wang, X. Niu, Y. Wang, J. Zhou, and L. Xiong, “Construction of Two Kinds of Optimal Wide-Gap Frequency-Hopping Sequence Sets,” IEICE Trans. Fundamentals, vol. E106.A, no. 12, pp. 1484–1492, Dec. 2023
4. L. Cheng et al., “Adaptive Spectrum Anti-Jamming in UAV-Enabled Air-to-Ground Networks: A Bimatrix Stackelberg Game Approach,” Electronics, vol. 12, no. 20, p. 4344, Jan. 2023
5. F. Zhang, Y. Niu, Q. Zhou, and Q. Chen, “Intelligent anti-jamming decision algorithm for wireless communication under limited channel state information conditions,” Sci Rep, vol. 15, no. 1, p. 6271, Feb. 2025
Abstract views: 17 PDF Downloads: 8