Privacy protection method for ADS-B air traffic control data based on convolutional neural network and symmetric encryption
Compared to existing methods, our approach achieves shorter encryption times while maintaining robust privacy protection. Future work could explore integrating advanced encryption technologies with state-of-the-art deep learning algorithms to further enhance the security of privacy protection in ADS-B systems.
Authors
- Ruchun Jia
- Jing Lou
- Mingqian Wang (ORCID: https://orcid.org/0000-0003-1142-4274)
- Changsheng Ma
Institutions
- Sichuan University (CN)
- Changzhou Institute of Mechatronic Technology (CN)
Publication Details
- Journal
- Frontiers in Big Data
- Published
- 2025-12-18
- DOI
- https://doi.org/10.3389/fdata.2025.1683027
- Primary Topic
- Air Traffic Management and Optimization
- Type
- article
- Field-Weighted Citation Impact
- 0.00