节点文献
基于DSMM的数据分类分级探索与实践
Exploration and practice of data classification and grading based on DSMM
【摘要】 数据资产已成为极其重要的新型资产之一,并成为高校数字化转型最有效的助推器,其安全问题也日益突出,数据分类分级是实现数据安全管理的首要条件。首先,分析了数据分类分级存在的两大难题;然后,依据DSMM,从制度流程和技术工具2个维度开展研究,并依托学校数据平台实践,构建了学校的数据分类分级保护体系,为学校数据安全管理与共享提供了坚实保障。
【Abstract】 Data assets have become one of the most important new assets and the most effective booster for digital transformation in universities. Its security issues are becoming increasingly prominent, and data classification and grading are the primary conditions for achieving data security management. Firstly, the two major challenges in data classification and grading were analyzed. Then, research conducted from the perspectives of institutional processes and technical tools based on the DSMM. With the practice of school data platforms, a data classification and grading protection system for schools was constructed, providing a solid guarantee for school data security management and sharing.
【Key words】 data governance; classification and grading; data security; DSMM;
- 【文献出处】 通信学报 ,Journal on Communications , 编辑部邮箱 ,2024年S2期
- 【分类号】TP311.13;TP309
- 【下载频次】25