Abstract: Addressing the underutilization of the evaluation data in classified cybersecurity protection, this paper presents a model for reusing the evaluation data of classified protection of cybersecurity, comprising three dimensions: data classification, data reuse process and typical application scenarios. Firstly,  the data is classified according to the application scenarios, and basic data is statistically analyzed to draw conclusions from various perspectives. Secondly, utilizing the basic evaluation data and initial analysis conclusions as input, a data reuse model based on data mining is constructed to meet the diverse needs of different stakeholders. This model provides functions such as correlation analysis, classification analysis and cluster analysis, enabling a deeper exploration of the information behind the data. This approach facilitates the safe and effective utilization of data by relevant stakeholders, leveraging data as a strong support to play a more positive role in building a network security system.

Key words: data security, network security classified protection, data mining, data classification, cluster analysis

摘要： 针对网络安全等级保护测评数据资源未有效利用的问题，提出一种包括数据分类、数据再利用流程、典型应用场景3个维度的网络安全等级保护测评数据再利用模型.首先，将数据按照应用场景进行分类，统计分析测评基础数据，形成不同角度的分析结论；其次，利用测评基础数据以及初步分析结论作为输入，根据各方应用需求构建基于数据挖掘的测评数据再利用模型，提供关联分析、分类分析、聚类分析等功能，深入挖掘数据背后的信息.从而帮助相关各方安全有效利用数据，以数据作为一个强力支撑，为构建网络安全体系发挥更大积极作用.

关键词: 数据安全, 网络安全等级保护, 数据挖掘, 数据分类, 聚类分析