Frontiers of Data and Computing ›› 2023, Vol. 5 ›› Issue (1): 128-135.

CSTR: 32002.14.jfdc.CN10-1649/TP.2023.01.012

doi: 10.11871/jfdc.issn.2096-742X.2023.01.012

• Technology and Application • Previous Articles    

Research of Data Security on Prevention and Control Strategy Based on Classification and Categorization

ZHOU Chengzu(),WU Wen,CAI Xiaoqiang*()   

  1. Xiamen Meiya Pico Information Co.,LTD, Xiamen, Fujian 361000, China
  • Received:2021-12-02 Online:2023-02-20 Published:2023-02-20

Abstract:

[Objective] Since data volume in the age of big data grows exponentially, to guarantee data security, effective and efficient data classification and categorization are necessary for data management. [Methods] In this paper, by classifying and categorizing data, combined with relevant laws and standards, two key elements of data security are presented, including the infringed object and degree. Then a security prevention and control model of big data is designed. [Results] Under this model, static authorization based on classification and categorization, dynamic control of data security level as well as dynamic authorization and data masking based on data security level are realized. [Conclusions] Data should be classified and categorized by laws and industry standards. Data safety and controllability can be guaranteed only by statistic classification and categorization as well as dynamic categorization and real-time control.

Key words: big data, data classification and categorization, data security, dynamic authorization