Large-scale Power Data Processing Technology Based on Encrypted Distributed Cloud Computing
The integrated management system of power engineering technology involves massive data analysis work which needs to be processed and calculated through cloud computing,but these data often involve business secrets and power security.In order to ensure the authenticity and effectiveness of power data without leakage,this paper proposes an encrypted distributed cloud computing data processing scheme,and designs a corresponding distributed cloud computing method based on parallel im-proved AES(advanced encryption standard)encryption.This method improves the traditional AES algorithm from two aspects of S-box and key generation,and uses a new affine transformation to generate a new S-box and square residual algorithm to generate a key,thus improves the reliability of the AES algorithm.At the same time,parallelization is realized on the basis of improving AES,which further improves the efficiency of encryption and decryption.The feasibility of the proposed algorithm is verified based on the load data set of an Australian region.The results show that the proposed algorithm effectively improves the reliability and reduces the encryption and decryption time by at least 4 percentage points compared with the traditional AES algorithm under different data volumes.
万方数据
维普
