An Efficient and Privacy-Preserving Federated Learning Scheme for Flying Ad Hoc Networks

Author:

Kanchan Sneha1,Choi Bong Jun1

Affiliation:

1. Soongsil University,Computer Science and Engineering,Seoul,South Korea

Publisher

IEEE

Reference18 articles.

1. Secure Federated Learning by Power Control for Internet of Drones

2. SEGB: Security Enhanced Group Based AKA Protocol for M2M Communication in an IoT Enabled LTE/LTE-A Network

3. SPSR-VCP: secure and privacy-preserving SignRecryption in vehicular cyber-physical systems;kanchan;Journal of Ambient Intelligence and Humanized Computing Springer,2021

4. Weave ElGamal Encryption for Secure Outsourcing Algebraic Computations Over Zp;chen;IACR Cryptol ePrint Arch,2015

5. FedV

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. FedComm: A Privacy-Enhanced and Efficient Authentication Protocol for Federated Learning in Vehicular Ad-Hoc Networks;IEEE Transactions on Information Forensics and Security;2024

2. Privacy Preserving Techniques and Deployment Types in Unmanned Aerial Systems;2023 International Conference on Recent Advances in Information Technology for Sustainable Development (ICRAIS);2023-11-06

3. A Survey on Trust Management in Flying Ad Hoc Networks: Challenges, Classifications, and Analysis;2023 Tenth International Conference on Software Defined Systems (SDS);2023-10-23

4. A Review of Authentication Methods in Internet of Drones;2023 International Conference on Networking and Network Applications (NaNA);2023-08

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