微型电脑应用2024,Vol.40Issue(12) :55-58.

基于加密分布式云计算的大规模电力数据处理技术

Large-scale Power Data Processing Technology Based on Encrypted Distributed Cloud Computing

陈凯玲 史松峰
微型电脑应用2024,Vol.40Issue(12) :55-58.

基于加密分布式云计算的大规模电力数据处理技术

Large-scale Power Data Processing Technology Based on Encrypted Distributed Cloud Computing

陈凯玲 1史松峰1
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作者信息

  • 1. 国网上海市电力公司经济技术研究院,上海 200233
  • 折叠

摘要

电力工程技术综合管理系统涉及海量的数据分析工作,需要通过云计算才能完成相应的处理与运算,但这些数据通常涉及商业机密和电力安全.因此,为了在电力数据不被泄露的前提下保证其真实性及有效性,提出一种加密分布式云计算数据处理方案,并设计相应的基于并行改进AES(advanced encryption standard)加密的分布式云计算方法.该方法从S盒与密钥生成2个方面对传统的AES算法进行优化,利用一种新的仿射变换来产生新S盒且通过平方剩余算法生成密钥,以此提高算法的可靠性.在改进AES的基础上实现了并行化,进一步提高加/解密的效率.基于澳大利亚某地区负荷数据集对所提算法可行性进行验证,结果表明,在不同的数据量下,其相较于传统AES算法可靠性得到了有效提高,加/解密时间也至少降低了约4个百分点.

Abstract

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.

关键词

云计算/AES算法/仿射变换/平方剩余算法

Key words

cloud computing/AES algorithm/affine transformation/square residual algorithm

引用本文复制引用

出版年

2024
微型电脑应用
上海市微型电脑应用学会

微型电脑应用

CSTPCD
影响因子:0.359
ISSN:1007-757X
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