5G network security and data encryption for hybrid power service scenarios

Abstract

The wide variety of 5G multi-scenario hybrid power data leads to the problems of poor encryption security and high time cost in traditional data encryption methods. To ensure the 5G network security of power data, a hybrid 5G classified and hierarchical electric power data encryption method in cloud storage with multiple features is proposed. By collecting multi-source power data information in cloud storage space and pre-processing it, multiple features in the data can be extracted and fused, and different types of data will be encrypted. SM4 is used to encrypt the data transmitted by the acquisition system, and the corresponding ciphertext is generated. Based on the feature fusion results of power data, the classification and grading of power data are realized. Simulation results show that encrypting and protecting power data through the proposed method can effectively reduce memory consumption and has better practicability in the actual situation of resource efficiency.