Smart City Gnosys
Smart city article details
| Title | An Efficient Privacy Protection Mechanism For Blockchain-Based Federated Learning System In Uav-Mec Networks |
|---|---|
| ID_Doc | 7884 |
| Authors | Zhu C.; Zhu X.; Qin T. |
| Year | 2024 |
| Published | Sensors, 24, 5 |
| DOI | http://dx.doi.org/10.3390/s24051364 |
| Abstract | The widespread use of UAVs in smart cities for tasks like traffic monitoring and environmental data collection creates significant privacy and security concerns due to the transmission of sensitive data. Traditional UAV-MEC systems with centralized data processing expose this data to risks like breaches and manipulation, potentially hindering the adoption of these valuable technologies. To address this critical challenge, we propose UBFL, a novel privacy-preserving federated learning mechanism that integrates blockchain technology for secure and efficient data sharing. Unlike traditional methods relying on differential privacy (DP), UBFL employs an adaptive nonlinear encryption function to safeguard the privacy of UAV model updates while maintaining data integrity and accuracy. This innovative approach enables rapid convergence, allowing the base station to efficiently identify and filter out severely compromised UAVs attempting to inject malicious data. Additionally, UBFL incorporates the Random Cut Forest (RCF) anomaly detection algorithm to actively identify and mitigate poisoning data attacks. Extensive comparative experiments on benchmark datasets CIFAR10 and Mnist demonstrably showcase UBFL’s effectiveness. Compared to DP-based methods, UBFL achieves accuracy (99.98%), precision (99.93%), recall (99.92%), and F-Score (99.92%) in privacy preservation while maintaining superior accuracy. Notably, under data pollution scenarios with varying attack sample rates (10%, 20%, and 30%), UBFL exhibits exceptional resilience, highlighting its robust capabilities in securing UAV gradients within MEC environments. © 2024 by the authors. |
| Author Keywords | blockchain; data privacy; federated learning; poisoning attack; unmanned aerial vehicles |
Similar Articles
| Id | Similarity | Authors | Title | Published |
|---|---|---|---|---|
59307  | 0.914 | Aqleem Abbas S.M.; Khattak M.A.K.; Boulila W.; Kouba A.; Shahbaz Khan M.; Ahmad J. | Uavs And Blockchain Synergy: Enabling Secure Reputation-Based Federated Learning In Smart Cities | IEEE Access, 12 (2024) |
| 40926 | 0.873 | Dong C.; Pal S.; Yao A.; Jiang F.; Chen S.; Liu X. | Optimizing Uav Delivery For Pervasive Systems Through Blockchain Integration And Adversarial Machine Learning | Computer Communications, 236 (2025) |
| 1670 | 0.87 | Islam A.; Karimipour H. | A Federated Transfer Learning-Empowered Blockchain-Enabled Secure Knowledge Sharing Scheme For Unmanned Any Vehicles In Smart Cities | 2023 IEEE Symposium Series on Computational Intelligence, SSCI 2023 (2023) |
| 47589 | 0.866 | Ntizikira E.; Lei W.; Alblehai F.; Saleem K.; Lodhi M.A. | Secure And Privacy-Preserving Intrusion Detection And Prevention In The Internet Of Unmanned Aerial Vehicles | Sensors, 23, 19 (2023) |
| 5422 | 0.865 | Kumar V.; Asthana A.; Tripathi G. | A Systematic Literature Review Of Blockchain-Assisted Uav Communication Systems | Proceedings of the 2024 3rd Edition of IEEE Delhi Section Flagship Conference, DELCON 2024 (2024) |
| 61389 | 0.86 | Tahir B.; Tariq M. | Vulnerability Assessment And Federated Intrusion Detection Of Air Taxi Enabled Smart Cities | Sustainable Energy Technologies and Assessments, 53 (2022) |
| 1488 | 0.857 | Qu Q.; Ogunbunmi S.; Hatami M.; Xu R.; Chen Y.; Chen G.; Blasch E. | A Digital Twins Enabled Reputation System For Microchain-Based Uav Networks | 2023 IEEE 12th International Conference on Cloud Networking, CloudNet 2023 (2023) |
| 12576 | 0.855 | Ju S.; Park H.; Son S.; Kim H.; Park Y.; Park Y. | Blockchain-Assisted Secure And Lightweight Authentication Scheme For Multi-Server Internet Of Drones Environments | Mathematics, 12, 24 (2024) |
| 41507 | 0.854 | Chen X.; Wei K.; Chen J.; Wu Y. | Pd-Drl: Towards Privacy-Preserving And Energy-Sustainable Uav Crowdsensing | Internet of Things (The Netherlands), 30 (2025) |
| 35229 | 0.853 | Xu R.; Wei S.; Chen Y.; Chen G.; Pham K. | Lightman: A Lightweight Microchained Fabric For Assurance- And Resilience-Oriented Urban Air Mobility Networks | Drones, 6, 12 (2022) |