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

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.