基于盲数BM模型的配电网谐波数据存储安全控制方法

现有配电网谐波数据存储安全控制方法存在着谐波数据存储安全性能低、安全控制时间长的问题,为此提出基于盲数BM模型的配电网谐波数据存储安全控制方法。利用盲数BM模型提取并处理配电网谐波数据,以此为基础,采用混合加密算法加密配电网谐波数据,以加密谐波数据为依据,创建谐波数据存储结构模型,设定谐波数据存储控制规则,完成谐波数据的存储,以存储的谐波数据为基础,利用云端验证存储谐波数据的完整性,实现了基于盲数BM模型的配电网谐波数据的存储安全控制。通过实验结果显示,与现有的配电网谐波数据存储安全控制方法相比较,提出的配电网谐波数据存储安全控制方法极大的提升了谐波数据存储安全性能,缩短了数据存储控制时间,充分说明提出的配电网谐波数据存储安全控制方法具备更好的性能。

A Safety Control Method for Harmonic Data Storage in Distribution Network Based on Blind BM Model

The present security control method of harmonic data storage in the distribution network suffers from low security performance in harmonic data storage, and long time in security control. Therefore, a distribution network harmonic data storage security control method based on blind number BM model is proposed. The blind BM model is used to extract and process harmonic data of distribution network. On this basis, the hybrid encryption algorithm is used to encrypt harmonic data of distribution network. On the basis of the encrypted harmonic data, a storage structure model of harmonic data is created, control rules of harmonic data storage are set, and the storage of harmonic data is completed. The storage of harmonic data is based on the encrypted harmonic data. And the integrity of harmonic data storage is verified by the cloud, and the storage security control of harmonic data of the distribution network based on blind BM model is realized. The experimental results show that compared with the existing distribution network harmonic data storage security control methods, the proposed distribution network harmonic data storage security control method greatly improves the harmonic data storage security performance, shortens the data storage control time, sufficiently suggesting that the proposed distribution network harmonic data storage security control method has better performance.