Enhancing Data Security Through Comprehensive Traceability: A Labeling Approach

In the context of increasing cyber threats and stringent regulations, this article presents a data security approach based on multi-level labeling to track data. By classifying data sensitivity levels and labeling them, our method enables tracking data throughout its lifecycle, from collection to destruction. Integrating technologies like machine learning enhances this traceability, allowing real-time tracking and risk anticipation. Our model demonstrates superior performance compared to existing studies in terms of precision and reliability, while ensuring compliance with international standards.