Method for trust management in decentralized UAV networks based on context-aware consensus

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Abstract

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.

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About the authors

V. I. Petrenko

North-Caucasus Federal University

Author for correspondence.
Email: vipetrenko@ncfu.ru

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

Russian Federation, Stavropol

M. H. Najajra

Al-Istiqlal University

Email: mnajajra@pass.ps

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

Palestinian Territory, Occupied, Jericho

F. B. Tebueva

North-Caucasus Federal University

Email: ftebueva@ncfu.ru

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

Russian Federation, Stavropol

N. P. Pankin

North-Caucasus Federal University

Email: pankin.nkt@gmail.com

Student

Russian Federation, Stavropol

References

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Supplementary files

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2. Figure 1. Dynamics of quality metrics for the proposed BARC method and its PBFT-PoW counterpart: a — packet delivery rate (PDR); b — energy efficiency (Eeff); c — number of false negatives (FN)

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3. Figure 2. Dependence of quality metrics on the proportion of attackers for the proposed BARC method and its PBFT-PoW counterpart: a — packet delivery rate (PDR); b — number of false negatives (FN); c — number of true negatives (TN)

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