BETA-UAV: Blockchain-based Efficient and Trusted Authentication for UAV Communication

Hafeez, S ORCID: 0000-0003-4769-4284, Shawky, MA, Al-Quraan, M, Mohjazi, L, Imran, MA and Sun, Y (2022) BETA-UAV: Blockchain-based Efficient and Trusted Authentication for UAV Communication. In: International Conference on Communication Technology Proceedings ICCT . pp. 613-617. (2022 IEEE 22nd International Conference on Communication Technology (ICCT), 11th Nov-14th Nov 2022, Nanjing, China).

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Abstract

Unmanned aerial vehicles (UAV), an emerging architecture that embodies flying ad-hoc networks, face critical privacy and security challenges, mainly when engaged in data-sensitive missions. Therefore, message authentication is a crucial security feature for drone communication. This paper presents a Blockchain-based Efficient, and Trusted Authentication scheme for UAV communication BETA-UAV, which exploits the inherent properties of blockchain technology concerning memorability and immutable to record communication sessions via transaction using a smart contract. The smart contract in BETA-UAV allows participants to publish and call transactions from the blockchain network. Furthermore, the transaction addresses are proof of freshness and trustworthiness for subsequent transmissions. Furthermore, we investigate the ability to resist active attacks, e.g., impersonation, replaying, and modification. In addition, we evaluate the gas costs associated with the smart contract's functions by implementing BETA-UAV on the Ethereum public blockchain. Comparing computation and communication over-heads shows that the proposed approach can save significant costs over traditional techniques.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	4605 Data Management and Data Science; 46 Information and Computing Sciences; 4604 Cybersecurity and Privacy
Subjects:	Q Science > QA Mathematics > QA76 Computer software
Divisions:	Computer Science and Mathematics
Publisher:	IEEE
Date of acceptance:	2 August 2022
Date of first compliant Open Access:	8 July 2026
Date Deposited:	08 Jul 2026 11:27
Last Modified:	08 Jul 2026 11:27
DOI or ID number:	10.1109/ICCT56141.2022.10072981
URI:	https://researchonline.ljmu.ac.uk/id/eprint/28956

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