A Data Collection and Transmission Method for Smart Meters Based on Homomorphic Cncryption

With the rapid development of smart meter technology, how to ensure the privacy and security of power data has become a key issue in smart grid systems. This paper proposes a hierarchical energy metering data collection method based on homomorphic encryption. This method uses time segmentation and homomorphic encryption technology to enable each branch meter to securely encrypt its electricity data and upload it to the upper meter. The upper meter obtains the electricity data of each branch meter by decrypting its known total current information, while the branch meters and attackers cannot decrypt the specific data of other meters. This method ensures the privacy isolation between branch meters and improves the security of data transmission. At the same time, it also has good flexibility and topological adaptability, can adapt to the needs of multi-level, distributed power networks, and is particularly suitable for the application of large-scale smart grid systems. Through experimental verification, the method in this paper can efficiently complete data encryption, transmission and decryption while ensuring privacy security, has strong anti-attack capabilities, and can reduce system operation and maintenance costs.

Authors

Publication Details

Published
2025-02-28
DOI
https://doi.org/10.1109/icsgge64667.2025.10985241
Citations
1
Primary Topic
Power Line Communications and Noise
Type
article
Field-Weighted Citation Impact
0.73
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A Data Collection and Transmission Method for Smart Meters Based on Homomorphic Cncryption

Tian Li, Xuesong Qi, Zhen Wu, Zhenxin Li et al.
1 citations
Power Line Communications and Noise
0.73
article

A Data Collection and Transmission Method for Smart Meters Based on Homomorphic Cncryption

Tian Li, Xuesong Qi, Zhen Wu, Zhenxin Li, Yuqiao Wang, Sun Jia
article en
1 citations

Abstract

With the rapid development of smart meter technology, how to ensure the privacy and security of power data has become a key issue in smart grid systems. This paper proposes a hierarchical energy metering data collection method based on homomorphic encryption. This method uses time segmentation and homomorphic encryption technology to enable each branch meter to securely encrypt its electricity data and upload it to the upper meter. The upper meter obtains the electricity data of each branch meter by decrypting its known total current information, while the branch meters and attackers cannot decrypt the specific data of other meters. This method ensures the privacy isolation between branch meters and improves the security of data transmission. At the same time, it also has good flexibility and topological adaptability, can adapt to the needs of multi-level, distributed power networks, and is particularly suitable for the application of large-scale smart grid systems. Through experimental verification, the method in this paper can efficiently complete data encryption, transmission and decryption while ensuring privacy security, has strong anti-attack capabilities, and can reduce system operation and maintenance costs.

Openalex Percentile: Top 29%
Power Line Communications and Noise
0.73
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

A Data Collection and Transmission Method for Smart Meters Based on Homomorphic Cncryption — Tian Li, Xuesong Qi, et al. · (2025) | TGRS Research Map | TGRS