Blockchain-Enabled Identity Based Authentication Scheme for Cellular Connected Drones
The proliferation of drones across precision agriculture, disaster response operations, and delivery services has accentuated the critical need for secure communication frameworks. Due to the limited computational capabilities of drones and the fragility of real-time wireless communication networks, the cellular connected drones confront mounting cybersecurity threats. Traditional authentication mechanisms, such as public-key infrastructure-based authentication, and identity-based authentication, are centralized and have high computational costs, which may result in single point of failure. To address these issues, this paper proposes a blockchain-enabled authentication and key agreement scheme for cellular-connected drones. Leveraging identity-based cryptography (IBC) and the Message Queuing Telemetry Transport (MQTT), the scheme flow is optimized to reduce the communication rounds in the authentication. By integrating MQTT brokers with the blockchain, it enables drones to authenticate through any network node, thereby enhancing system scalability and availability. Additionally, cryptographic performance is optimized via precompiled smart contracts, enabling efficient execution of complex operations. Comprehensive experimental evaluations validate the performance, scalability, robustness, and resource efficiency of the proposed scheme, and show that the system delivers near-linear scalability and accelerated on-chain verification.
Authors
- Xun Gui (ORCID: https://orcid.org/0000-0002-5070-3527)
- Zeyuan Li (ORCID: https://orcid.org/0000-0003-1691-9487)
- Yufei Zhang (ORCID: https://orcid.org/0000-0003-1555-5888)
- Xue Deng (ORCID: https://orcid.org/0000-0002-8644-1362)
- Jun Fu (ORCID: https://orcid.org/0000-0001-5734-7134)
- Yu Su (ORCID: https://orcid.org/0000-0002-3099-5016)
Institutions
- University of Electronic Science and Technology of China (CN)
- China Mobile (China) (CN)
Publication Details
- Journal
- Sensors
- Published
- 2025-11-13
- DOI
- https://doi.org/10.3390/s25226935
- Primary Topic
- UAV Applications and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00