面向云边协同的电力能源数据隐私保护分布式存储

陈何雄; 聂仁灿; 罗震宇; 郭威

陈何雄,聂仁灿,罗震宇,郭威.面向云边协同的电力能源数据隐私保护分布式存储[J].电测与仪表,2026,63(8):113-121.
CHEN Hexiong,NIE Rencan,LUO Zhenyu,GUO Wei.Distributed Storage of Power Energy Data Privacy Protection for Cloud Edge Collaboration[J].Electrical Measurement & Instrumentation,2026,63(8):113-121.

面向云边协同的电力能源数据隐私保护分布式存储

Distributed Storage of Power Energy Data Privacy Protection for Cloud Edge Collaboration

DOI：10.19753 / j.issn1001-1390.2026.08.012

中文关键词: 云边协同电力能源隐私数据数据保护分布式存储

英文关键词:Cloud edge collaboration Electric energy Privacy data Data protection Distributed storage

基金项目:中国南方电网有限责任公司科技项目(YNKJXM 20200172,YNKJXM20200168)

作者中文名	作者英文名	单位
陈何雄	CHEN Hexiong	云南电网有限责任公司信息中心,云南省昆明
聂仁灿	NIE Rencan	云南大学信息学院
罗震宇	LUO Zhenyu	云南电网有限责任公司信息中心,云南省昆明
郭威	GUO Wei	云南电网有限责任公司信息中心,云南省昆明

摘要点击次数: 9

中文摘要:

电力系统覆盖范围广,部分区域存在网络不稳定的问题,导致数据在传输过程中丢失或损坏,同时将数据存储在云端意味着用户对数据的控制权减弱,增加了敏感数据泄露的风险。为此,考虑数据存储的完整性与隐私性,引入云边协同技术,提出电力能源数据隐私保护分布式存储方法。考虑云边协同技术的运行环境,构建分布式存储空间。云边协同利用云端的集中管理能力来确保数据的一致性,同时边缘侧的本地存储可以提供快速的数据访问和恢复能力。采用网络爬虫技术,自动化收集电力能源相关的数据,为后续对数据存储提供数据支持。引入对称加密方法,结合特征匹配生成明文密钥,将明文和加密密钥一起,对收集到的电力能源相关数据对称加密,利用非对称加密方法获取私有密钥,实现对电力能源数据的分级加密。利用云边协同技术并行调度电力能源隐私数据,通过加密数据在选择存储空间中的写入,实现电力能源数据隐私保护分布式存储任务。通过性能测试得出结论：在无攻击场景与有攻击场景下,研究提出的存储方法的隐私数据丢失量平均值分别为0.5MB、1.3MB；篡改率的平均值分别为0.5%、0.6%；数据存储吞吐量达到400MB以上。

英文摘要:

The power system covers a wide area and network instability in some areas causes data to be lost or damaged during transmission, while storing data in the cloud means users have less control over their data, increasing the risk of sensitive data leaks. Therefore, considering the integrity and privacy of data storage, a distributed storage method for privacy protection of power energy data is proposed by introducing cloud-edge collaborative technology. Considering the operating environment of cloud-edge collaborative technology, the distributed storage space is constructed. Cloud edge collaboration utilizes the centralized management capabilities of the cloud to ensure data consistency, while local storage on the edge provides fast data access and recovery capabilities. Web crawler technology is used to automatically collect data related to power energy and provide data support for subsequent data storage. The symmetric encryption method is introduced, and the plaintext key is generated by combining feature matching. The plaintext and encryption key are used together to symmetrically encrypt the collected electric power energy-related data, and the private key is obtained by asymmetric encryption method to realize hierarchical encryption of electric power energy data. The cloud edge collaboration technology is used to parallel dispatch power energy privacy data, and the distributed storage task of power energy data privacy protection is realized by encrypting data written in the selected storage space. Through the performance test, it is concluded that the average privacy data loss of the proposed storage method is 0.5MB and 1.3MB respectively in the non-attack scenario and the attack scenario. The average tampering rates were 0.5% and 0.6% respectively. The data storage throughput reaches more than 400MB.

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