Research on Security Classification and Classification Method of Power Grid Data

Jinqiang Fan, Yonggang Xu, Jing Ma
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Abstract

In order to solve the problem of untargeted data security grading methods in the process of power grid data governance, this paper analyzes the mainstream data security grading standards at home and abroad, investigates and sorts out the characteristics of power grid data security grading requirements, and proposes a method that considers national, social, and A grid data security classification scheme for the security impact of four dimensions of individuals and enterprises. The plan determines the principle of power grid data security classification. Based on the basic idea of “who will be affected to what extent and to what extent when the power grid data security is damaged”, it defines three classification factors that need to be considered: the degree of impact, the scope of influence, and the objects of influence, and the power grid data is divided into five security levels. In the operation stage of power grid data security grading, this paper sorts out the experience and gives the recommended grading process. This scheme basically conforms to the status quo of power grid data classification, and lays the foundation for power grid data governance.
电网数据安全分类与分类方法研究
为了解决电网数据治理过程中数据安全分级方法缺乏针对性的问题,本文分析了国内外主流的数据安全分级标准,调查梳理了电网数据安全分级要求的特点,针对个人和企业四个维度的安全影响,提出了一种考虑国家、社会、a电网数据安全分级方案。该方案确定了电网数据安全分类的原则。基于“电网数据安全受到破坏,影响到什么程度、影响到什么程度”的基本思路,定义了需要考虑的影响程度、影响范围、影响对象三个分类因素,并将电网数据划分为五个安全等级。在电网数据安全分级的运行阶段,本文对经验进行了整理,给出了推荐的分级流程。该方案基本符合电网数据分类现状,为电网数据治理奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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