基于差异化能源大数据与敏感特征的轻量级共享数据加密方法  

A Lightweight Shared Data Encryption Method Based on Differentiated Energy Big Data and Sensitive Features

作　　者：王旭东[1] 张伟 王林[1] 冯鹊禾 王洋[1] 孙健 WANG Xudong;ZHANG Wei;WANG Lin;FENG Quehe;WANG Yang;SUN Jian(State Grid Tianjin Electric Power Company,Tianjin 300010,China;State Grid Information&Telecommunication Group Co.,LTD,Beijing 102209,China)

机构地区：[1]国网天津市电力公司,天津300010 [2]国网信息通信产业集团有限公司,北京102209

出　　处：《人工智能科学与工程》2024年第3期29-35,共7页ARTIFICIAL INTELLIGENCE SCIENCE AND ENGINEERING

基　　金：国家电网有限公司总部管理科技项目(5700-202312315A-1-1-ZN)。

摘　　要：差异化大数据属性的路径密钥生成较为复杂,存在额外记录加密数据的行为,难以针对特定的敏感数据进行加密,导致整体开销较大。对此,基于差异化能源大数据与敏感特征,设计了一种轻量级共享数据加密方法。分析了能源大数据的差异化特征,建立同参数的无向图,通过顶点搜索法分类顶点权重值下的差异化特性,将其分离成为轻量级的数据形态,解析相应能源大数据的Raft共识机制。基于Raft共识机制,结合敏感特征测试代价矩阵,修正不同状态的能源大数据信息,针对性地定义共享能源大数据的加密密文格式,结合RSA(Rivest-Shamir-Adleman)算法,完成轻量级共享数据加密。实验结果表明,主动攻击数据、被动攻击数据、高级持续性威胁攻击数据、差分攻击数据、连接攻击数据的总体防御成功率较高,带宽开销与验证开销较小,满足了能源大数据安全保障需求。The generation of path keys for differentiated big data attributes is relatively complex,and there is an additional behavior of recording encrypted data,making it difficult to encrypt specific sensitive data,resulting in high overall costs.Therefore,based on differentiated energy big data and sensitive features,a lightweight shared data encryption method is designed.Analyzed the differential characteristics of energy big data,established undirected graphs with the same parameters,classified the differential characteristics under vertex weight values through vertex search method,separated them into lightweight data forms,and analyzed the Raft consensus mechanism of corresponding energy big data.Based on the Raft consensus mechanism,combined with the cost matrix of sensitive feature testing,the energy big data information of different states is modified,and the encrypted ciphertext format of shared energy big data is defined specifically.Combined with the RSA algorithm,lightweight shared data encryption is completed.The experimental results show that active attack data,passive attack data,APT attack data,differential attack data,and connection attack data have a higher overall successful defense frequency,and the bandwidth and verification costs are always relatively small,meeting the needs of energy big data security protection.

关 键 词：数据加密 差异化 敏感特征 轻量级 共享数据 能源大数据 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]