关键词: 数字政府, 追踪溯源, 重要数据, 个人敏感信息, 数据打标, 数据染色

Abstract: Along with the national digital government strategic layout’s continuous advancement, in order to give full play to the benefits of big data aggregation and analysis, the nodes of digital government deal with a large amount of important data, and the data communication and information sharing among the nodes, and the data security risk is exposed day by day, which brings a great challenge to trace the source of data leakage events. This paper first analyzes the risk scenario of digital government data leakage. Then, based on the domestic and foreign wellknown traceability models 7W, ProVOC and so on, the endtoend traceability model and technical method are proposed. The model is a comprehensive application of the annotation method and the reverse query method. The method is a scenariobased improvement of database watermarking, dynamic desensitization and other technologies, and makes use of big data and association analysis technology, the traceability technology and the landing practice strategy are formed through each link of the service data flow, including data marking, staining, data operation log association analysis. Finally, taking a government core node network environment as an example, the paper carries on the application practice research, and achieves the effect of successfully tracing the evidence chain of data leakage exit and data access transmission chain, it improves the traceability efficiency and accuracy of data security events.

Key words: digital government, tracing the source, important data, personal sensitive information, data watermarking, data staining