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作 者:张译 魏永瑜 马燕 冶秀兰 马元明 ZHANG Yi;WEI Yongyu;MA Yan;YE Xiulan;MA Yuanming(Data Operation Center,State Grid Qinghai Electric Power Company Information and Communication Company,Xining 810000,China)
机构地区:[1]国网青海省电力公司信息通信公司数据运营中心,青海西宁810000
出 处:《电子设计工程》2024年第8期121-124,129,共5页Electronic Design Engineering
摘 要:数据中台是一种可实现数据采集、清洗、存储的架构,使其优化内部数据的管理效果,提升数据价值的释放。但由于数据中台架构较为复杂,导致数据安全交互时效性下降。为解决此问题,基于最邻近算法设计一种新的数据中台内生性数据安全交互系统。设置入口节点和出口节点协调模式,抑制混乱传输现象,通过业务服务和数据存储双中台架构搭建硬件结构。利用最邻近算法排序处理数据,设定准确度阈值,分析密钥参数,实现安全交互。实验结果表明,该方法的精准度在99%以上,交互时间显著缩短,对于数据中台有积极的推动作用。Data center is an architecture that can realize data collection,cleaning and storage,so as to optimize the management effect of internal data and promote the release of data value.However,due to the complex architecture of the data center,the timeliness of data security interaction is reduced.In order to solve this problem,a new data center endogenous data security interaction system is designed based on the nearest neighbor algorithm.Set the coordination mode of the entry node and the exit node to suppress the chaotic transmission phenomenon,and build the hardware structure through the business service and data storage dual center architecture.The nearest neighbor algorithm is used to sort and process the data,set the accuracy threshold,analyze the key parameters,and achieve secure interaction.The experimental results show that the accuracy of this method is over 99%,and the interaction time is significantly shortened,which has a positive effect on the data center.
关 键 词:最邻近算法 数据中台 内生性数据 数据安全 数据交互 安全交互
分 类 号:TN791[电子电信—电路与系统]
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