Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, September 1–3, 2023, Chongqing, China

Research Article

On Data Classification and Grading Methods for Petrochemical Enterprises

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  • @INPROCEEDINGS{10.4108/eai.1-9-2023.2338835,
        author={Pingping  Zhao and Tao  Zhang and Xiaoman  Cheng and Weiqing  Huang and Zhiqi  He},
        title={On Data Classification and Grading Methods for Petrochemical Enterprises},
        proceedings={Proceedings of the 2nd International Conference on Public Management, Digital Economy and Internet Technology, ICPDI 2023, September 1--3, 2023, Chongqing, China},
        publisher={EAI},
        proceedings_a={ICPDI},
        year={2023},
        month={11},
        keywords={petrochemical enterprises; data classification and grading; data security},
        doi={10.4108/eai.1-9-2023.2338835}
    }
    
  • Pingping Zhao
    Tao Zhang
    Xiaoman Cheng
    Weiqing Huang
    Zhiqi He
    Year: 2023
    On Data Classification and Grading Methods for Petrochemical Enterprises
    ICPDI
    EAI
    DOI: 10.4108/eai.1-9-2023.2338835
Pingping Zhao1, Tao Zhang2,*, Xiaoman Cheng1, Weiqing Huang1, Zhiqi He1
  • 1: Digital Intelligence Company PetroChina Southwest Oil & Gasfield Company
  • 2: Sichuan Energy Internet Research Institute Tsinghua University
*Contact email: zhangtao@tsinghua-eiri.org

Abstract

Data classification and grading management is crucial for ensuring data security and facilitating rational development and utilization. Petrochemical enterprises, as custodians and processors of data, urgently need to establish a unified and scientific system for safeguarding classified data. This article proposes a hybrid classification approach that considers multiple dimensions such as the origin, business domain, and security attributes of petrochemical enterprise's data to construct a multi-tiered data classification system. By comprehensively considering the objects, the scope and the extent of impact, the petrochemical enterprise's data is graded into four levels based on their varying degrees of sensitivity.