APPLIED RESEARCH

Ensuring the confidentiality and integrity of telemetry data in the operation of unmanned vehicles in mobile communication networks

Authors

How to cite

GOST Oleinik D. S., Saraeva K. D., Kravtsov N. K., Kokokhina D. E., Tutkushbaev T. D. Ensuring the confidentiality and integrity of telemetry data in the operation of unmanned vehicles in mobile communication networks // STROITEL'NYE I DOROZHNYE MASHINY. 2026. Vol. 70. No. 9. P. 161-172. DOI: 10.25726/f1523-6197-7382-t
APA Oleinik, D. S., Saraeva, K. D., Kravtsov, N. K., Kokokhina, D. E. & Tutkushbaev, T. D. (2026). Ensuring the confidentiality and integrity of telemetry data in the operation of unmanned vehicles in mobile communication networks. STROITEL'NYE I DOROZHNYE MASHINY, 70(9), 161-172. https://doi.org/10.25726/f1523-6197-7382-t

Abstract

Carrying unmanned-vehicle telemetry over a public mobile network binds confidentiality and integrity requirements to transport constraints. Cryptographic service fields lengthen the protected frame, a longer frame is split into more fragments, and the loss of one fragment costs the receiver an entire protected portion of telemetry. The study asks how tag length, aggregation depth, key change period and transport block size jointly govern the residual risk of a telemetry stream. Residual risk is computed analytically across five profiles of cryptographic frame protection by a reproducible offline program. The modelling unit is a protected telemetry frame; the five profiles differ in tag length, counter nonce, service header, aggregation depth and key change period, and are evaluated over nine inputs with disclosed ranges. Residual risk counts the records per session that either fail to reach the receiver with verified integrity or are accepted as authentic while injected. The lowest computed residual risk equals 7.200 records. The aggregating profile yields 14.397 records, and the relative spread across the five profiles reaches 99,96%. Aggregation stays free of fragmentation up to 16 records per frame. The binding constraint lies in the ratio between protected frame size and transport block size rather than in tag length. The injection component amounts to 0.290% of the residual risk of the truncated-tag profile, and the two components equalise only at 17.18 million injection attempts per second, well beyond the throughput of the radio interface considered here.

Keywords

unmanned vehicle telemetry mobile communication network confidentiality data integrity message authentication tag authenticated encryption frame aggregation residual risk

Funding

The authors did not declare any external funding for this research.

References

Makhov D.S. Analysis of non-cryptographic methods of information protection in radio channels of information systems // Cybersecurity Issues. 2024. no. 1 (59). pp. 82-88.

Minakov S.S. Basic cryptographic mechanisms for protecting data transmitted to cloud services and data storage networks // Cybersecurity Issues. 2020. no. 3(37). pp. 66-75.

Aljamal M., Khassawneh B.S., Alsarhan A., Okour S., Almusfar L.A., AlThani B.F., Aldossary W. A novel dual-layer quantum-resilient encryption strategy for UAV-cloud communication using adaptive lightweight ciphers and hybrid ECC-PQC // Computers. 2026. Vol. 15. № 2.

Al-Tamimi N.Y, Aljamal M., Al-Jamal M.Q., Alsarhan A., Alshammari S.A., Alshammari N.H., Alnafisah KH.H., Aleinzi M.K. An Energy-Aware Post-Quantum Ascon-ML-KEM cryptographic framework for low-latency UAV remote sensing communications // Cryptography. 2026. Vol. 10. № 3. Article 39.

Baibussinov A., Shayakhmetov M., Rzayeva L., Yesbergenov K. A hardware-software complex for the reconstruction of unmanned aerial vehicle digital traces under logical data damage using LSTM-based telemetry recovery and multi-source confidence scoring // Journal of Cybersecurity and Privacy. 2026. Vol. 6. № 4. Article 123.

Han P., Sui A., Wu J. Lightweight secure communication supporting batch authentication for UAV swarm // Drones. 2025. Vol. 9. № 2. Article 139.

He Z., Zheng Y., Chen S., Du Z., Liu S., Zhang K. Security-enhanced lightweight authentication key-agreement protocol for unmanned aerial vehicle communication // Applied Sciences. 2025. Vol. 15. № 9. Article 4680.

Ju S., Park H., Son S., Kim H., Park Y., Park Y. Blockchain-assisted secure and lightweight authentication scheme for multi-server Internet of Drones environments // Mathematics. 2024. Vol. 12. № 24. Article 3965.

Lee S., Son S., Park Y. Lightweight and security-enhanced key agreement protocol using PUF for IoD environments // Mathematics. 2025. Vol. 13. № 13. Article 2062.

Li C.T., Weng C.Y., Chen C.L., Lee C.C., Deng Y.Y., Imoize A.L. An efficient authenticated key agreement scheme supporting privacy-preservation for Internet of Drones communications // Sensors. 2022. Vol. 22. № 23. Article 9534.

Mohamed M.A.M., Oniz Y. Real-time long-range control of an autonomous UAV using 4G LTE network // Drones. 2025. Vol. 9. № 12. Article 812.

Papathanasiou D., Zacharakis E., Liaperdos J., Kotsilieris T., Livieris I.E., Ioannou K. Secure communication protocols and AI-based anomaly detection in UAV-GCS // Applied Sciences. 2026. Vol. 16. № 7. Article 3339.

Roy K.S., Sujith M., Bhanu B. et al. FPGA-based dual-layer authentication scheme utilizing AES and ECC for unmanned aerial vehicles // EURASIP Journal on Wireless Communications and Networking. 2024. № 1. Article 91.

Wang W., Zhang S., Liu G., Zhao Y. A blockchain-based cross-domain authentication scheme for unmanned aerial vehicle-assisted vehicular networks // World Electric Vehicle Journal. 2025. Vol. 16. № 4. Article 199.

Zulkifley M.A., Behjati M., Nordin R., Zakaria M.S. Mobile network performance and technical feasibility of LTE-powered unmanned aerial vehicle // Sensors (Basel, Switzerland). 2021. Vol. 21. № 8. P. 2848. Article 2848.

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