BAZAM: A Blockchain-Assisted Zero-Trust Authentication in Multi-UAV Wireless Networks
Mingyue Xie, Zheng Chang, Osama Alfarraj, Keping Yu, Tao Chen, Hongwei, Li

TL;DR
BAZAM introduces a blockchain-based zero-trust authentication framework for multi-UAV wireless networks, enhancing security and adaptability by integrating physical unclonable functions and cryptographic verification.
Contribution
This work presents a novel blockchain-assisted zero-trust authentication scheme for UAV networks, addressing limitations of traditional system-centric methods and enabling continuous identity verification.
Findings
Effective in preventing unauthorized access
Efficient in computational and communication overhead
Robust against various security threats
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 system-centric, failing to adapt to the diversity of UAVs identities and access, resulting in changes in network environments and connection statuses. Additionally, UAVs are not subjected to periodic identity compliance checks once authenticated, leading to difficulties in controlling access anomalies. Therefore, in this work, we consider a zero-trust framework for UAV network authentication, aiming to achieve UAVs identity authentication through the principle of ``never trust and always verify''. We introduce a blockchain-assisted zero-trust…
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Taxonomy
TopicsUAV Applications and Optimization · Security in Wireless Sensor Networks · Advanced Authentication Protocols Security
