BAZAM: A Blockchain-Assisted Zero-Trust Authentication in Multi-UAV Wireless Networks

Unmanned aerial vehicles (UAVs) are vulnerable to interception and attacks when operated remotely without a unified and efficient identity authentication. Meanwhile, the openness of wireless communication environments potentially leads to data leakage and system paralysis. However, conventional authentication schemes in the UAV network are centered on the fixed trust boundary, ignoring potential internal threats and failing to flexibly respond to the dynamic requirements of UAV access and identity authentication. Additionally, UAVs are not subjected to periodic repetitive identity authentication, leading to difficulties in controlling access anomalies. Therefore, in this work, we consider a zero-trust framework for UAV network authentication, aiming to achieve UAV identity authentication through the principle of "never trust and always verify". We introduce a blockchain-assisted zero-trust authentication scheme, namely BAZAM, designed for multi-UAV wireless networks. In this scheme, UAVs follow a key generation approach using physical unclonable functions (PUFs), and cryptographic technique helps verify registration and access requests of UAVs. The blockchain is applied to store UAVs authentication-related information in immutable storage. Through thorough security analysis and extensive evaluation, we demonstrate the effectiveness and efficiency of the proposed BAZAM.

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Publication Details

Journal
IEEE Internet of Things Journal
Published
2025-08-25
DOI
https://doi.org/10.1109/jiot.2025.3602114
Citations
1
Primary Topic
UAV Applications and Optimization
Type
article
Field-Weighted Citation Impact
4.99
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article

BAZAM: A Blockchain-Assisted Zero-Trust Authentication in Multi-UAV Wireless Networks

Mingyue Xie, Zheng Chang, Alain R. Ndjiongue, Hongwei Li et al.
1 citations
IEEE Internet of Things Journal
UAV Applications and Optimization
4.99
article

BAZAM: A Blockchain-Assisted Zero-Trust Authentication in Multi-UAV Wireless Networks

Mingyue Xie, Zheng Chang, Alain R. Ndjiongue, Hongwei Li, Tao Chen
article en
1 citations

Abstract

Unmanned aerial vehicles (UAVs) are vulnerable to interception and attacks when operated remotely without a unified and efficient identity authentication. Meanwhile, the openness of wireless communication environments potentially leads to data leakage and system paralysis. However, conventional authentication schemes in the UAV network are centered on the fixed trust boundary, ignoring potential internal threats and failing to flexibly respond to the dynamic requirements of UAV access and identity authentication. Additionally, UAVs are not subjected to periodic repetitive identity authentication, leading to difficulties in controlling access anomalies. Therefore, in this work, we consider a zero-trust framework for UAV network authentication, aiming to achieve UAV identity authentication through the principle of "never trust and always verify". We introduce a blockchain-assisted zero-trust authentication scheme, namely BAZAM, designed for multi-UAV wireless networks. In this scheme, UAVs follow a key generation approach using physical unclonable functions (PUFs), and cryptographic technique helps verify registration and access requests of UAVs. The blockchain is applied to store UAVs authentication-related information in immutable storage. Through thorough security analysis and extensive evaluation, we demonstrate the effectiveness and efficiency of the proposed BAZAM.

IEEE Internet of Things JournalVol. 12(22)
University of Electronic Science and Technology of China (CN), University of the Witwatersrand (ZA)
Openalex Percentile: Top 5%
UAV Applications and Optimization
4.99
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BAZAM: A Blockchain-Assisted Zero-Trust Authentication in Multi-UAV Wireless Networks — Mingyue Xie, Zheng Chang, et al. · IEEE Internet of Things Journal (2025) | TGRS Research Map | TGRS