Intrusion detection framework based on homomorphic encryption in AMI network
In order to alleviate the privacy issue of traditional smart grids, some researchers have proposed a power metering system based on a federated learning framework, which jointly trains the model by exchanging gradients between multiple data owners instead of raw data. However, recent research shows...
Main Authors: | Jing Wang, Zhuoqun Xia, Yaling Chen, Chang Hu, Fei Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-12-01
|
Series: | Frontiers in Physics |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fphy.2022.1102892/full |
Similar Items
-
Privacy-Preserving Federated Learning Using Homomorphic Encryption
by: Jaehyoung Park, et al.
Published: (2022-01-01) -
Efficient secure federated learning aggregation framework based on homomorphic encryption
by: Shengxing YU, et al.
Published: (2023-01-01) -
Efficient secure federated learning aggregation framework based on homomorphic encryption
by: Shengxing YU, et al.
Published: (2023-01-01) -
A Security-Enhanced Federated Learning Scheme Based on Homomorphic Encryption and Secret Sharing
by: Cong Shen, et al.
Published: (2024-06-01) -
Exploring Homomorphic Encryption and Differential Privacy Techniques towards Secure Federated Learning Paradigm
by: Rezak Aziz, et al.
Published: (2023-09-01)