微型电脑应用2023，Vol.39Issue(11)：60-64,68,6.
基于隐藏分类算法的电网隐私数据多层级加密研究
Research on Multi-level Encryption of Power Grid Privacy Data Based on Hidden Classification Algorithm
摘要
Abstract
To effectively solve the problem that the transmission path information of private data in the power grid is prone to attacks and leaks,leading to a decrease in data transmission security,a multi-level encryption method for power grid privacy data based on hidden classification algorithm is studied.Binary non-transparent predicates are used to change the transmission path of private data in the power grid to obtain the corresponding control flow.It expands and flattens the obtained control flow and obfuscates its logical order,and a branch obfuscation algorithm is used to hide the path information after obfuscation pro-cessing.On the basis of information hiding of power grid transmission path,k-means algorithm is used to divide the private da-ta on different transmission paths into two levels:power data and user data.RC6 algorithm and Fiestel algorithm are used to encrypt power data and user data,and multi-level encryption of power grid private data is realized by combining multi-level au-thentication scheme.The experimental results show that this method has high efficiency in encrypting and decrypting power grid privacy data,low space occupation,low energy consumption,and high security.The encryption effect of power grid priva-cy data is good.关键词
电网隐私数据/多层级加密/分支混淆算法/k-means算法/数据加密Key words
grid privacy data/multi-level encryption/branch obfuscation algorithm/k-means algorithm/data encryption分类
信息技术与安全科学引用本文复制引用
宋永占,奚磊,崔巍,袁凌风..基于隐藏分类算法的电网隐私数据多层级加密研究[J].微型电脑应用,2023,39(11):60-64,68,6.基金项目
国网电力科学研究院(南瑞集团有限公司)科技项目(52464C220003) （南瑞集团有限公司）
