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A secure and efficient data aggregation scheme for cloud–edge collaborative smart meters

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成果类型:
期刊论文
作者:
Kang, WenJie;Zhang, Li;Hu, Zhenzhen;Xia, Zhuoqun
通讯作者:
Zhenzhen Hu
作者机构:
[Kang, WenJie] Hunan Provincial Key Laboratory of Network Investigational Technology, Hunan Police Academy , Changsha 410000, China
[Zhang, Li; Xia, Zhuoqun] School of Computer and Communication Engineering, Changsha University of Science and Technology, Changsha 410000, China
[Hu, Zhenzhen] School of Computer Science and Technology, University of South China, Hengyang 421000, China
通讯机构:
[Zhenzhen Hu] S
School of Computer Science and Technology, University of South China, Hengyang 421000, China
语种:
英文
关键词:
Users classification;Cloud–edge collaboration;Data aggregation;Privacy protection
期刊:
International Journal of Electrical Power & Energy Systems
ISSN:
0142-0615
年:
2024
卷:
162
页码:
110270
机构署名:
本校为通讯机构
院系归属:
计算机科学与技术学院
摘要:
Smart meters are part of the Advanced Measurement Infrastructure (AMI) system in the smart grid. It facilitates data transfer between consumers and electricity suppliers (ES). However, the mass deployment of smart meters (SM) brings heavy overhead to grid operation and poses serious privacy threats. To this end, this paper proposes a secure and efficient data aggregation scheme of cloud–edge collaboration smart meters. At first, we standardize the users’ historical electricity load features and use the improved K-Means clustering algorithm to...

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