Research on Intelligent Big Data Collaborative Supervision System on Quality and Security Properties

The rapid development of the big data industry and the continuous growth of data volume have led to a significant expansion in the consequences and impact of malicious events such as information errors, leaks, destruction, and misuse. In this context, regulating the processes of big data generation, collection, transmission, storage, analysis, and usage, understanding the distribution of critical and sensitive data, and promptly identifying and interrupting suspicious data and risky operations are crucial measures to ensure data security, privacy, and usability, and to curb illegal activities and leverage the role of technological governance. By introducing intelligent technology, the innovation and evolution of data supervision capabilities in the big data environment are promoted. The beneficial effects of intelligent applications in data supervision are analyzed from aspects including data origin, content identification, policy configuration, situation presentation, and risk prediction. A big data intelligent collaborative supervision system suitable for cross-domain environments is proposed, and the future development trends of the technology are anticipated.