Electricity Carbon Emissions Data Storage Scheme Based on Hierarchical Blockchains

This article studies an important issue of secure and efficient storage of electricity carbon emissions data. We introduce a hierarchical blockchain system for storing electricity carbon emission data, addressing large-scale, high-concurrency data requests while ensuring security and immutability. The structure includes leaf, intermediate, and root blockchains for efficient storage and synchronization. Key aspects are identity registration, data upload and download organized by role-based interfaces. Experimental results demonstrate the system’s practicality and low overhead, making it as a secure and scalable solution for carbon emission data storage.

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Publication Details

Published
2024-12-13
DOI
https://doi.org/10.1109/sgei63936.2024.10914186
Primary Topic
Big Data and Digital Economy
Type
article
Field-Weighted Citation Impact
0.00
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article

Electricity Carbon Emissions Data Storage Scheme Based on Hierarchical Blockchains

Zhihui Zhu, Birou Gao, S. L. Huang, Hong Zhou et al.
Big Data and Digital Economy
article

Electricity Carbon Emissions Data Storage Scheme Based on Hierarchical Blockchains

Zhihui Zhu, Birou Gao, S. L. Huang, Hong Zhou, Haoxin Wang, Fan Zhou, Zehao Wang, Yuze Tan, Jiayan Wang
article en

Abstract

This article studies an important issue of secure and efficient storage of electricity carbon emissions data. We introduce a hierarchical blockchain system for storing electricity carbon emission data, addressing large-scale, high-concurrency data requests while ensuring security and immutability. The structure includes leaf, intermediate, and root blockchains for efficient storage and synchronization. Key aspects are identity registration, data upload and download organized by role-based interfaces. Experimental results demonstrate the system’s practicality and low overhead, making it as a secure and scalable solution for carbon emission data storage.

Institute of Information Engineering (CN), University of Chinese Academy of Sciences (CN), China Southern Power Grid (China) (CN)
Openalex Percentile: Top 55%
Big Data and Digital Economy
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