Research on Massive Electric Power Big Data Transmission Encryption Based on Improved K-means Algorithm

Lixia Wang, Wei Li, Dawei Wang
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Abstract

Since the massive electric power data is too big, the time required to transmit the electric power data transmission encryption is too long. To this end, a massive electric power big data transmission encryption method based on improved K-means algorithm is designed. Using the improved K-means algorithm to classify the electric power big data, for the classified data, filter it through attribute reduction and gene expression programming algorithms to obtain the data to be encrypted, ECC-AES hybrid encryption algorithm is used to encrypt electric power big data, which completes the design of electric power big data encryption. Through comparative experiments, it is compared with two electric power big data encryption methods. Experimental results show that, in terms of the time to obtain the data to be encrypted, the proposed electric power big data encryption method is 135ms less than the electric power big data transmission encryption method 1, and 271ms less than the electric power big data transmission encryption method 2. In terms of the time required for the entire encryption process, the proposed electric power big data encryption method is 225ms less than the electric power big data transmission encryption method 1, and 352ms less than the electric power big data transmission encryption method 2.
基于改进K-means算法的海量电力大数据传输加密研究
由于海量电力数据太大,电力数据传输加密传输所需的时间太长。为此,设计了一种基于改进K-means算法的海量电力大数据传输加密方法。利用改进的K-means算法对电力大数据进行分类,对于分类后的数据,通过属性约简和基因表达式编程算法进行过滤,得到待加密的数据,采用ECC-AES混合加密算法对电力大数据进行加密,完成电力大数据加密的设计。通过对比实验,对两种电力大数据加密方法进行了比较。实验结果表明,在获取待加密数据的时间上,本文提出的电力大数据加密方法比电力大数据传输加密方法1短135ms,比电力大数据传输加密方法2短271ms。从整个加密过程所需的时间来看,本文提出的电力大数据加密方法比电力大数据传输加密方法1少225ms,比电力大数据传输加密方法2少352ms。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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