Privacy-preserving multi-dimensional multi-function data aggregation scheme in smart grid
In smart grid, fine-grained user data can be effectively leveraged to support grid operation. However, achieving functional analysis of such data, especially its multi-dimensionalization and multi-functional operation, without compromising user privacy has been identified as an urgent problem. Most...
Saved in:
Main Authors: | WANG Yuanyuan, HAN Yiliang, WU Liqiang, LI Yu, YAO Wujun, WU Xuguang, ZHU Shuaishuai |
---|---|
Format: | Article |
Language: | English |
Published: |
POSTS&TELECOM PRESS Co., LTD
2025-06-01
|
Series: | 网络与信息安全学报 |
Subjects: | |
Online Access: | http://www.cjnis.com.cn/thesisDetails#10.11959/j.issn.2096-109x.2025037 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Evaluation of Privacy-Preserving Support Vector Machine (SVM) Learning Using Homomorphic Encryption
by: William J. Buchanan, et al.
Published: (2025-05-01) -
A privacy-preserving federated learning framework
by: Yang Dongning, et al.
Published: (2022-05-01) -
A Survey on Privacy-Preserving Machine Learning Inference
by: Stanisław Barański
Published: (2025-07-01) -
Secure K-Means Clustering Scheme for Confidential Data Based on Paillier Cryptosystem
by: Zhengqi Zhang, et al.
Published: (2025-06-01) -
A privacy-preserving scheme supporting efficient task assignment in spatial crowdsourcing
by: Li Weijia, et al.
Published: (2024-03-01)