Research on Lifecycle-Driven Government Data Security Model and Data Grouping Technology

In the context of the information age, promoting digital government and smart cities has made government data sharing a key trend. Given its special nature, securing government data requires an effective security system for safe and efficient management. This paper explores government data security and technical systems, examines China's current data management situation, and compares management strategies in China, the EU, and the US. This paper adopts a data lifecycle-driven security management approach and leverages two widely recognized frameworks to propose a system that balances data openness and security. Finally, we propose an integrated learning method based on BERT and Random Forest, use real data sets to verify the feasibility of data grouping, and promote the integration of government data management and efficient technology.