Research on Intelligent Recognition and Tracking Technology of Sensitive Data for Electric Power Big Data

被引:2
|
作者
Yang, Ruxia [1 ,2 ]
Gao, Xianzhou [1 ,2 ]
Gao, Peng [1 ,2 ]
机构
[1] State Grid Key Lab Informat & Network Secur, Nanjing 210003, Peoples R China
[2] Global Energy Interconnect Res Inst Co Ltd, Nanjing 210003, Peoples R China
关键词
electric power big data; intelligent identification; classification and grading; tracking technology;
D O I
10.1109/ICMTMA52658.2021.00057
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Current power sensitive data security protection adopts classification and grading protection. Company classification and grading are mainly in formulating specifications. Data classification and grading processing is carried out manually, which is heavy and time-consuming, while traditional data identification mainly relies on rules for data identification, the level of automation and intelligence is low, and there are many problems in recognition accuracy. Data classification and classification is the basis of data security protection. Sensitive data identification is the key to data classification and classification, and it is also the first step to achieve accurate data security protection. This paper proposes an intelligent identification and tracking technology of sensitive data for electric power big data, which can improve the ability of data classification and classification, help the realization of data classification and classification, and provide support for the accurate implementation of data security capabilities.
引用
收藏
页码:229 / 234
页数:6
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