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

Hafeez, S., Shawky, M. A. , Al-Quraan, M., Mohjazi, L. , Imran, M. A. and Sun, Y. (2023) BETA-UAV: Blockchain-based Efficient and Trusted Authentication for UAV Communication. In: 2022 IEEE 22nd International Conference on Communication Technology (ICCT), Nanjing, China, 11-14 Nov 2022, ISBN 9781665470681 (doi: 10.1109/ICCT56141.2022.10072981)

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 Proceedings
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: hafeez, sana and Imran, Professor Muhammad and Shawky, Mr Mahmoud and Sun, Dr Yao and Alquraan, Mohammad Mahmoud Younes and Mohjazi, Dr Lina
• Authors: Hafeez, S., Shawky, M. A., Al-Quraan, M., Mohjazi, L., Imran, M. A., and Sun, Y.
• College/School: College of Science and Engineering; College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
• ISSN: 2576-7844
• ISBN: 9781665470681

Related URLs

• Organisation
• Publisher