Informacionnye TehnologiiInformacionnye TehnologiiИнформационные технологии1684-6400New Technologies Publishing House70733210.17587/it.32.251-262Information and telecommunications technologyИнформационно-телекоммуникационные технологииResearch ArticleMethod for trust management in decentralized UAV networks based on context-aware consensusМетод управления доверием в децентрализованных сетях БПЛА на основе контекстно-ориентированного консенсусаPetrenkoV. I.ПетренкоВ. И.
Russian Federation

Cand. of Tech. Sc., Associate Professor, Head of the Department of Organization and Technology of Information Security

канд. техн. наук, доц., зав. кафедрой

vipetrenko@ncfu.ruNajajraM. H.НаджаджраМ. Х.
Palestinian Territory, Occupied

Ph.D., Associate Professor, Department of Management Information Systems

PhD, ассоциированный профессор кафедры информационных систем управления

mnajajra@pass.psTebuevaF. B.ТебуеваФ. Б.
Russian Federation

Dr. of Phys. and Math. Sc., Associate Professor, Professor of the Department of Computational Mathematics and Cybernetics

д-р физ.-мат. наук, доц., профессор кафедры

ftebueva@ncfu.ruPankinN. P.ПанкинН. П.
Russian Federation

Student

студент

pankin.nkt@gmail.comNorth-Caucasus Federal UniversityСеверо-Кавказский федеральный университетAl-Istiqlal UniversityУниверситет Аль-Истикляль090520263252512620905202609052026Copyright ©; 2026, Informacionnye TehnologiiCopyright ©; 2026, Информационные технологии2026Informacionnye TehnologiiИнформационные технологииhttps://journals.eco-vector.com/1684-6400/article/view/707332

The article proposes the method of trust management in decentralized UAV networks, which leverages the context of interactions between drones to more accurately identify reliable and suspicious nodes. This solution reduces false accusations, improves adaptability, and enhances energy efficiency compared to existing approaches, performing effectively under complex and dynamic network conditions.

Предложен метод управления доверием в децентрализованных сетях БПЛА, который использует контекст взаимодействий между дронами для более точного определения надежных и подозрительных узлов. Решение уменьшает ложные обвинения, повышает адаптивность и энергоэффективность по сравнению с существующими подходами, успешно работает в сложных и динамичных условиях сети.

trust managementUAVdecentralized networkstrust contextnetwork securitynetwork performancefalse accusationsуправление довериемБПЛАдецентрализованные сетиконтекст довериябезопасность сетипроизводительность сетиложные обвиненияDogan H. and Setzer A. SABEC: Secure and Adaptive Blockchain-Enabled Coordination Protocol for Unmanned Aerial Vehicles (UAVs) Network, Proceedings of the 11th International Conference on Information Systems Security and Privacy (ICISSP 2025), 2025, vol. 1, pp. 377—388.Dogan H. and Setzer A. SABEC: Secure and Adaptive Blockchain-Enabled Coordination Protocol for Unmanned Aerial Vehicles (UAVs) Network // Proceedings of the 11th International Conference on Information Systems Security and Privacy (ICISSP 2025). 2025. Vol. 1. Р. 377—388. DOI: 10.5220/0013330500003899.Abishu H. N., Sun G., Yacob Y. H., Boateng G. O., Nguyen D. T. Multiagent DRL-Based Consensus Mechanism for Blockchain-Based Collaborative Computing in UAV-Assisted 6G Networks, IEEE Internet of Things Journal, 2024, vol. 12, issue 4, pp. 4331—4348.Abishu H. N., Sun G., Yacob Y. H., Boateng G. O., Nguyen D. T. Multiagent DRL-Based Consensus Mechanism for Blockchain-Based Collaborative Computing in UAV-Assisted 6G Networks // IEEE Internet of Things Journal. 2024. Vol. 12, Iss. 4. Р. 4331—4348. DOI: 10.1109/JIOT.2024.3484005.Han Y., Wang X., Zhang Y., Yang G., Tan X. А UAV swarm communication network architecture based on consortium blockchain, Journal of Physics: Conference Series, International Conference on Control Theory and Applications (ICoCTA 2022), 2022, vol. 2352, art. № 012008, 9 p.Han Y., Wang X., Zhang Y., Yang G., Tan X. А UAV swarm communication network architecture based on consortium blockchain // Journal of Physics: Conference Series, International Conference on Control Theory and Applications (ICoCTA 2022). 2022. Vol. 2352. Art. № 012008. 9 p. DOI: 10.1088/1742-6596/2352/1/012008.Hafeez S. Blockchain-based secure Unmanned Aerial Vehicles (UAV) in network design and optimization, PhD thesis, University of Glasgow, Glasgow, 2024, 151 p. available at: https://theses.gla.ac.uk/84460/Hafeez S. Blockchain-based secure Unmanned Aerial Vehicles (UAV) in network design and optimization. PhD thesis, University of Glasgow, Glasgow, 2024. 151 p. URL: https://theses.gla.ac.uk/84460/Kumar A., Ahuja N. J., Thapliyal M., Dutt S., Tanesh Kumar T., Diego Augusto De Jesus Pacheco D. A. D. J., Kim-Kwang Raymond Choo K.-K. R. Blockchain for unmanned underwater drones: Research issues, challenges, trends and future directions, Journal of Network and Computer Applications, 2023, vol. 215, art. № 103649.Kumar A., Ahuja N. J., Thapliyal M., Dutt S., Tanesh Kumar T., Diego Augusto De Jesus Pacheco D. A. D. J., Kim-Kwang Raymond Choo K.-K. R. Blockchain for unmanned underwater drones: Research issues, challenges, trends and future directions // Journal of Network and Computer Applications. 2023. Vol. 215. Art. № 103649. https://doi.org/10.1016/j.jnca.2023.103649.Alqarni M. A. Secure UAV adhoc network with blockchain technology, PLoS ONE, 2024, vol. 19 (5), art. № e0302513.Alqarni M. A. Secure UAV adhoc network with blockchain technology // PLoS ONE. 2024. Vol. 19 (5). Art. № e0302513. DOI: 10.1371/journal.pone.0302513.Abbas N. H., Khoualdi J., Rammeh K. H., Kaffel H. В. A. Blockchain technologies for UAV swarms and UAV-based networks, SLR, Fusion: Practice and Applications, 2024, vol. 18 (1), pp. 1—23.Abbas N. H., Khoualdi J., Rammeh K. H., Kaffel H. В. A. Blockchain technologies for UAV swarms and UAV-based networks, SLR // Fusion: Practice and Applications. 2025. Vol. 18. Issue 1. P. 1—23. DOI: https://doi.org/10.54216/FPA.180101.Hafeez S., Cheng R., Mohjazi L., Imran M. A., Sun Y. А Blockchain-Enabled Framework of UAV Coordination for Post- Disaster Networks, IEEE 99th Vehicular Technology Conference (VTC2024-Spring), 2024, pp. 1—5.Hafeez S., Cheng R., Mohjazi L., Imran M. А., Sun Y. А Blockchain-Enabled Framework of UAV Coordination for Post-Disaster Networks // 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring). 2024. P. 1—5. DOI: 10.1109/VTC2024-Spring62846.2024.10683259.Peelam M. S., Chamola V., Sharma A. K., Chaurasia В. K. Decentralized Trust: NFT and Blockchain-Enabled Evidence System using Fog, Computing, Blockchain: Research and Applications, 2025, art. № 100321.Peelam M. S., Chamola V., Sharma A. K., Chaurasia В. K. Decentralized Trust: NFT and Blockchain-Enabled Evidence System using Fog // Computing, Blockchain: Research and Applications. 2025. Art. 100321. DOI: 10.1016/j.bcra.2025.100321.Deng G., Zhou Y., Xu Y., Zhang T., Liu Y. An Investigation of Byzantine Threats in Multi-Robot Systems, RAID ‘21: Proceedings of the 24th International Symposium on Research in Attacks, Intrusions and Defenses, 2021, pp. 17—32.Deng G., Zhou Y., Xu Y., Zhang T., Liu Y. An Investigation of Byzantine Threats in Multi-Robot Systems // RAID ‘21: Proceedings of the 24th International Symposium on Research in Attacks, Intrusions and Defenses. 2021. P. 17—32. DOI: 10.1145/3471621.3471867.Liao Z., Zhang L., Dong Z. UAV Swarm Exploration with Byzantine Fault Tolerance, 2021 China Automation Congress (CAC), 2021, pp. 7150—7154.Liao Z., Zhang L., Dong Z. UAV Swarm Exploration With Byzantine Fault Tolerance // 2021 China Automation Congress (CAC). 2021. P. 7150—7154. DOI: 10.1109/CAC53003.2021.9727874.Ryabtsev S. S. Method for Detecting Malicious Robots Based on Collective Decision-Making Process Data in Swarm Robotic Systems, Control, Communication and Security Systems, 2022, no. 3, pp. 105—137 (in Russian).Рябцев С. С. Метод выявления вредоносных роботов на основе данных процесса коллективного принятия решений в роевых робототехнических системах // Системы управления, связи и безопасности. 2022. № 3. С. 105—137. DOI: 10.24412/2410-9916-2022-3-105-137.Petrenko V. I., Tebueva F. B., Ryabtsev S. S., Antonov V. O., Struchkov I. V. Analysis of Influence of Byzantine Robots with Random Behaviour Strategy on Collective Decision-Making in Swarms, Current Problems in Applied Mathematics and Computer Science and Systems. APAMCS 2022. Lecture Notes in Networks and Systems, 2023, vol. 702, pp. 205—216 (in Russian).Petrenko V. I., Tebueva F. B., Ryabtsev S. S., Antonov V. O., Struchkov I. V. Analysis of Influence of Byzantine Robots with Random Behaviour Strategy on Collective Desicion-Making in Swarms // Current Problems in Applied Mathematics and Computer Science and Systems. APAMCS 2022. Lecture Notes in Networks and Systems. 2023. Vol. 702. P. 205—216. DOI: 10.1007/978-3-031-34127-4_20.Peng J., Xiao H., Lai G., Chen C. L. P. Consensus formation control of wheeled mobile robots with mixed disturbances under input constraints, Journal of the Franklin Institute, 2024, vol. 361 (17), art. № 107300.Peng J., Xiao H., Lai G., Chen C. L. P. Consensus formation control of wheeled mobile robots with mixed disturbances under input constraints // Journal of the Franklin Institute. 2024. Vol. 361 (17). Art. № 107300. DOI: 10.1016/j.jfranklin.2024.107300.Mahato P., Sudipta Saha S., Sarkar Ch., Shaghil Md. Consensus-based fast and energy-efficient multi-robot task allocation, Robotics and Autonomous Systems, 2023, vol. 159, art. № 104270.Mahato P., Sudipta Saha S., Sarkar Ch., Shaghil Md. Consensus-based fast and energy-efficient multi-robot task allocation // Robotics and Autonomous Systems. 2023. Vol. 159. Art. № 104270. DOI: 10.1016/j.robot.2022.104270.Gholami А. Exploring drone classifications and applications: a review, International Journal of Engineering and Geosciences, 2024, vol. 9 (3). pp. 418—442.Gholami А. Exploring drone classifications and applications: a review // International Journal of Engineering and Geosciences. 2024. Vol. 9 (3). P. 418—442. DOI: 10.26833/ijeg.1428724.Malinovkin V. A., Mordvinkina O. S., Reznikov K. N., Barabanov А. V. Bayesian Trust Network in a Decision-Making System for UAV Control, Bulletin of Voronezh State Technical University, 2024, vol. 20, no. 2, pp. 56—60 (in Russian).Малиновкин В. А., Мордвинкина О. С., Резников К. Н., Барабанов А. В. Байесовская сеть доверия в системе принятия решения при управлении БПЛА // Вестник Воронежского государственного технического университета. 2024. Т. 20, № 2. С. 56—60. DOI: 10.36622/1729-6501.2024.20.2.009.Struchkov I. V. Method for Assessing Trust in Agents during Their Interaction in a Decentralized Cyber-Physical Environment, Bulletin of Saint-Petersburg State University of Technology and Design. Series 1: Natural and Technical Sciences, 2023, no. 4, pp. 86—90 (in Russian).Стручков И. В. Метод оценки доверия к агентам при их взаимодействии в децентрализованной киберфизической среде // Вестник Санкт-Петербургского государственного университета технологии и дизайна. Серия 1: Естественные и технические науки. 2023. № 4. С. 86—90. DOI: 10.46418/2079-8199_2023_4_16.Ivanov S. V., Lozovsky V. V., Saveliev I. V. Methodology of Distributed Decentralized Control of a Heterogeneous UAV Group Based on Hierarchical Clustering Algorithms, Issues of Defense Technology. Series 16: Technical Means of Countering Terrorism. 2024, no. 3—4 (189—190), pp. 3—10 (in Russian).Иванов С. В., Лозовский В. В., Савельев И. В. Методика распределенного децентрализованного управления группировкой разнородных БПЛА на основе алгоритмов иерархической кластеризации // Вопросы оборонной техники. Серия 16: Технические средства противодействия терроризму. 2024. № 3—4 (189—190). С. 3—10. DOI: 10.53816/23061456_2024_3-4_3.Zuo J., Cao R., Qi J., Gao P., Wang, Z., Li J., Zhang L., Lu Y. А Hierarchical Blockchain-Based Trust Measurement Method for Drone Cluster Nodes, Drones, 2023, vol. 7, art. № 627.Zuo J., Cao R., Qi J., Gao P., Wang, Z., Li J., Zhang L., Lu Y. А Hierarchical Blockchain-Based Trust Measurement Method for Drone Cluster Nodes // Drones. 2023. Vol. 7. Art. № 627. DOI: 10.3390/drones7100627.