Trusted Networking for Drones: Reputation-Based Security Mechanisms for Node Access and Information Synchronization
In complex environments such as maritime search and rescue, the application of drone swarms has significantly improved the efficiency of search and rescue and effectively reduced the risk of casualties. However, they face serious security and privacy challenges, particularly when dealing with internal malicious node attacks and communication security threats, which can lead to leakage or tampering of rescue information, severely affecting the effectiveness of rescue operations and the safety of participants. To address these challenges, this paper proposes an innovative trustworthy drone networking framework that integrates trusted domain construction and information synchronization technologies. Firstly, a reputation-based voting mechanism is designed to ensure that only drones with good reputations are granted access to the trusted domain, thereby enhancing the overall credibility and reliability of the network. next, an improved lattice-based aggregate signature algorithm is developed for the information synchronization scheme, ensuring the authenticity of information and the integrity of data, effectively preventing information leakage and tampering. Through experimental validation, the proposed trustworthy drone networking framework demonstrates significant advantages over existing solutions in promptly detecting and responding to malicious attacks, with efficiency improved by 10%. Additionally, the designed aggregate signature algorithm successfully reduces time costs by approximately 9.16%, providing maritime search and rescue operations with more efficient, accurate, and secure communication support.
Authors
- Jin Tian (ORCID: https://orcid.org/0000-0002-3952-6670)
- Ruizhong Du (ORCID: https://orcid.org/0000-0002-3952-2370)
- JiaJia Kang
Institutions
- Hebei University (CN)
Publication Details
- Published
- 2024-12-17
- DOI
- https://doi.org/10.1109/trustcom63139.2024.00031
- Primary Topic
- Opportunistic and Delay-Tolerant Networks
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Natural Science Foundation of Hebei Province
- Research and Development