Exploration of Data Classification and Grading Strategy for Power Grid Enterprises
In order to implement the relevant requirements in laws, regulations, standards, and specifications of the People's Republic of China, through refering to practical experiences of other industries, power grid enterprises need to explore constructing a set of data classification and grading strategies that are in line with their own business development for satisfying compliance requirements. Refering to the data classification and grading methods in the national standards, based on the comprehensive consideration of business management activities and data storage conditions, this article explores the construction of enterprise data, personal information, and public data classification strategies for power grid enterprises. Based on a combination of quantitative and qualitative statistical analysis techniques, according to the national criteria for determining important and core data, the affected objects and factors are assigned values to calculate the risk value of data items, and the data items are graded based on the risk value, providing a new data grading strategy and reference for conducting data compliance management.
Authors
- Chunting Kang
- Tianguang Yang
- Yu Zhang
- Weisi Yan
Publication Details
- Published
- 2024-10-18
- DOI
- https://doi.org/10.1145/3708036.3708258
- Primary Topic
- Smart Grid and Power Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00