Technical Research on Data Leaking Tracing Based on Data Mid-platform
Haokai Luo, Yizhen Sun, Rui Liu, Hongyu Zhu, Jingyuan Xue, Zheru Cai · 2023
Data leakage poses significant challenges to data security protection systems, and existing data watermarking methods often fail to achieve successful traceability in complex scenarios. To address this issue, this paper proposes a fast, convenient, and invisible tracing method suitable for data middle platform environments. By generating unique identifications using data sharing elements, the accuracy and reliability of traceability are improved. The paper outlines five main steps of the proposed method and describes the algorithms and technologies employed. Experimental results demonstrate that this method significantly enhances risk measurement and the effectiveness and accuracy of traceability, while also improving the effectiveness of the risk identification model. Furthermore, the method is not dependent on specific data sharing work order systems, thus enhancing the universality and effectiveness of data leakage tracing.