Visible to the public Research on Security Classification and Classification Method of Power Grid Data

TitleResearch on Security Classification and Classification Method of Power Grid Data
Publication TypeConference Paper
Year of Publication2022
AuthorsFan, Jinqiang, Xu, Yonggang, Ma, Jing
Conference Name2022 6th International Conference on Smart Grid and Smart Cities (ICSGSC)
KeywordsData Governance, Data security, grading method, grid data, IoT security, Metrics, power grids, pubcrawl, resilience, Resiliency, Scalability, smart cities, smart grid security, Smart grids, Standards

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.

Citation Keyfan_research_2022