Deakin University
Browse

File(s) under embargo

Securing Smart UAV Delivery Systems Using Zero Trust Principle-Driven Blockchain Architecture

conference contribution
posted on 2024-03-12, 02:44 authored by C Dong, S Pal, Q An, A Yao, Frank JiangFrank Jiang, Z Xu, Jack LiJack Li, M Lu, Y Song, S Chen, Xiao LiuXiao Liu
This paper presents a novel architecture that utilizes the Zero Trust Principle to facilitate blockchain-enabled Unmanned Aerial Vehicle (UAV) delivery systems, emphasizing recipient privacy, verification, and continuous authentication. By integrating blockchain's decentralization and transparency with a Zero Trust model, the architecture ensures robust security and access control. The blockchain-based architecture guarantees data integrity and resilience, while advanced cryptographic techniques, including homomorphic encryption, ensure long-term security. Ongoing security assessment and improvement are facilitated through the maturity model's integration with blockchain technology. This innovative approach effectively mitigates cyber risks, safeguards recipient data privacy, it initiative promotes the secure and efficient use of UAVs in logistics. It emphasizes the importance of maintaining strict access controls and trust boundaries. Through adaptable security evaluations, the model addresses evolving threats, ensuring a secure environment for UAV integration into the modern supply chain while prioritizing recipient privacy and security.

History

Volume

00

Pagination

315-322

Location

Danzhou, China

Start date

2023-12-17

End date

2023-12-21

ISBN-13

9798350319293

Language

eng

Title of proceedings

Proceedings - 2023 IEEE International Conference on Blockchain, Blockchain 2023

Event

2023 IEEE International Conference on Blockchain (Blockchain)

Publisher

IEEE

Place of publication

Piscataway, NJ.

Series

2023 IEEE International Conference on Blockchain (Blockchain)

Usage metrics

    Research Publications

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC