CONFIDENTIAL DATA TRANSFER IN TELECOMMUNICATIONS SYSTEMS WITH UAV INTEGRATION

DOI: 10.31673/2786-8362.2025.025427

Abstract

The article examines problems and
solutions for ensuring confidentiality in telecommunications systems with integrated unmanned aerial
vehicles (UAVs). It analyzes the main threats, such as passive eavesdropping, jamming, DoS/DDoS, GNSS
spoofing, MitM, false data injection, ML attacks, and physical capture, as well as their impact on security,
privacy, and mission reliability. A multi-level strategy for protecting the physical security of the channel is
proposed, using artificial noise, directional beamforming, cooperative suppression, and trajectory and
power optimization. The role of MEC/edge in secure offloading and in supporting hardware-based
authentication and updates is considered separately. A mathematical formulation of the problem of
maximizing the average secrecy rate with kinematic and energy constraints is presented, and practical
solution methods (SCA, SDR, stepwise optimization) are described. The paper highlights the “securitydelay-energy” trade-offs and provides recommendations for integrating data transmission security and fault
tolerance solutions in scalable communication networks with UAV integration.
Keywords: unmanned aerial vehicles, communication confidentiality, artificial noise, trajectory
optimization

References
1. Poorvi J., Kalita A., Gurusamy M. Reliable and Efficient Data Collection in UAV based IoT
Networks. IEEE Communications Surveys & Tutorials. 2025. P. 1. URL:
https://doi.org/10.1109/comst.2025.3550274.
2. Secrecy Analysis and Optimization of UAV-Assisted Communications With Hybrid SWIPT
and Cooperative Jamming / G. K. Pandey et al. IEEE Journal on Miniaturization for Air and Space
Systems. 2025. P. 1. URL: https://doi.org/10.1109/jmass.2025.3568592.
3. Yang S., Ma H. Security Performance Analysis of Full-Duplex UAV Assisted Relay System
Based on SWIPT Technology. Applied Sciences. 2024. Vol. 14, no. 12. P. 4987. URL:
https://doi.org/10.3390/app14124987.
4. Secure and energy-efficient transmission in UAV-assisted intelligent reflecting surface
networks / J. Xue et al. Scientific Reports. 2025. Vol. 15, no. 1. URL: https://doi.org/10.1038/s41598-
025-17852-y.
5. Khosravian E., Denghan M. Cyber Risk Prediction for UAVs in Space-related Missions using
Deep Reinforcement Learning. Journal of Space Science and Technology. 2025. Vol 15, no. 1. P. 1-
15. URL: https://doi.org/10.22034/jsst.2025.1527.
6. Aerial IRS-Assisted Secure SWIPT System With UAV Jitter / T. Cheng et al. IEEE
Transactions on Green Communications and Networking. 2024. P. 1. URL:
https://doi.org/10.1109/tgcn.2024.3366539.
7. Security and Privacy Issues and Solutions for UAVs in B5G Networks: A Review / M. A. Khan
et al. IEEE Transactions on Network and Service Management. 2024. P. 1. URL:
https://doi.org/10.1109/tnsm.2024.3487265.