Research and Practice of Grid Data Security Classification and Grading

Jinqiang Fan, Yonggang Xu, Jing Ma, Yaming Cao, Chen Zheng, Jing Yang
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Abstract

In order to solve the problem of untargeted security classification and grading methods in the process of power grid data governance, this paper proposes a classification and grading method that combines the characteristics of power grid services by deeply analyzing the mainstream data security classification and grading standards at home and abroad. This method starts from combing the power grid business lines, goes through the process of service refinement, data classification, and data grading, and finally gives targeted protective measures. This method is in line with the actual operation of the power grid, and clarifies the responsible subject of data classification and grading, so it is easy to implement and facilitate the update of classification and classification. In the process of data grading, the degree of influence and scope of influence on multiple objects are fully considered, and the power grid data is divided into four levels to facilitate data management, which basically conforms to the status quo of power grid data classification and lays a foundation for power grid data governance.
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网格数据安全分类分级的研究与实践
为了解决电网数据治理过程中存在的安全分类分级方法不具有针对性的问题,本文通过深入分析国内外主流数据安全分类分级标准,提出了一种结合电网业务特点的分类分级方法。该方法从梳理电网业务线入手,经过服务细化、数据分类、数据分级等过程,最后给出针对性的保护措施。该方法符合电网实际运行情况,明确了数据分类分级的责任主体,便于实施,便于分类分级更新。在数据分级过程中,充分考虑对多个对象的影响程度和影响范围,将电网数据分为四个层次,便于数据管理,基本符合电网数据分级现状,为电网数据治理奠定基础。
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