铁路运输调度领域数据分级及保护策略研究

Data Classification and Protection Strategy in Railway Transportation Dispatching

数字经济时代,数据安全性日益凸显,国家先后出台了一系列法律法规加快构建数据分类分级治理体系。在梳理我国部分行业领域数据分级现状的基础上,针对铁路运输调度领域数据,从需求感知、计划编制、计划执行与调整、评价分析4个维度分析铁路运输调度指挥全流程各环节数据,并提出运输调度数据分级的必要性。选取《数据安全法》作为数据分级基本依据,制定数据分级流程,综合考量数据规模、重要性等要素以及数据遭到破坏后造成的影响程度,将运输调度数据分为一般、重要、核心3个级别。针对不同级别的数据,采用多种数据安全保护技术组合方式制定数据分级保护策略,进一步完善铁路运输调度数据安全治理体系的构建,驱动铁路数字化转型。

In the era of the digital economy,data security is increasingly prominent,and China has introduced a series of laws and regulations to accelerate the construction of a data classification and hierarchical governance system.Based on sorting out the current situation of data classification in some industries in China,this paper analyzed the railway transportation dispatching data of the entire process from four dimensions including demand perception,plan preparation,plan execution and adjustment,and evaluation analysis,and proposed the necessity of relevant data classification.Additionally,by selecting the“Data Security Law”as the fundamental basis for data classification,it developed a data classification process and comprehensively considered the factors such as data size and importance that affect data classification and the influence degree of data destruction.Meanwhile,the transportation dispatching data is divided into general,important,and core levels.For different levels of data,a hierarchical data protection strategy was developed by adopting the combination of multiple data security protection technologies to further improve the governance system construction of railway transportation dispatching data security,thus driving digital railway transformation.