Ata uhi

Dual-Chain-Based Dynamic Authentication and Handover Mechanism for Air Command Aircraft in Multi-UAV Clusters

I tiakina i:
I whakaputaina i:Mathematics vol. 13, no. 13 (2025), p. 2130-2154
Kaituhi matua: Ma, Jing
Ētahi atu kaituhi: Chen, Yuanbo, Fu Yanfang, Du, Zhiqiang, Xiaoge, Yan, Guochuang, Yan
I whakaputaina:
MDPI AG
Ngā marau:
Aircraft
Agreements
Bans
Performance measurement
Collaboration
Satellite communications
Security
Authentication protocols
Distributed ledger
Unmanned aerial vehicles
Public Key Infrastructure
Network latency
Blockchain
Cryptography
Complexity
Clusters
Real time
Authentication
Smart contracts
Efficiency
Urunga tuihono:Citation/Abstract
Full Text + Graphics
Full Text - PDF
Ngā Tūtohu: Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
Whakarāpopotonga:Cooperative multi-UAV clusters have been widely applied in complex mission scenarios due to their flexible task allocation and efficient real-time coordination capabilities. The Air Command Aircraft (ACA), as the core node within the UAV cluster, is responsible for coordinating and managing various tasks within the cluster. When the ACA undergoes fault recovery, a handover operation is required, during which the ACA must re-authenticate its identity with the UAV cluster and re-establish secure communication. However, traditional, centralized identity authentication and ACA handover mechanisms face security risks such as single points of failure and man-in-the-middle attacks. In highly dynamic network environments, single-chain blockchain architectures also suffer from throughput bottlenecks, leading to reduced handover efficiency and increased authentication latency. To address these challenges, this paper proposes a mathematically structured dual-chain framework that utilizes a distributed ledger to decouple the management of identity and authentication information. We formalize the ACA handover process using cryptographic primitives and accumulator functions and validate its security through BAN logic. Furthermore, we conduct quantitative analyses of key performance metrics, including time complexity and communication overhead. The experimental results demonstrate that the proposed approach ensures secure handover while significantly reducing computational burden. The framework also exhibits strong scalability, making it well-suited for large-scale UAV cluster networks.
ISSN:2227-7390
DOI:10.3390/math13132130
Puna:Engineering Database