Table of Contents - X.1753 (12/2025) - Guidelines for data security using machine learning in big data infrastructure

1	Scope
2	References
3	Definitions
	3.1	Terms defined elsewhere
	3.2	Terms defined in this Recommendation
4	Abbreviations and acronyms
5	Conventions
6	Data security threats in big data infrastructure
	6.1	Data security threats to data collection
	6.2	Data security threats to data storage
	6.3	Data security threats to data integration
	6.4	Data security threats to data pre-processing
	6.5	Data security threats to data management
7	Scenarios of using machine learning for data security in big data infrastructure
	7.1	Data identification
	7.2	Data classification and grading
	7.3	Data encryption
	7.4	Data desensitization
	7.5	Identity authentication
	7.6	Data access control
	7.7	Data operation auditing
	7.8	Data backup
	7.9	Adaptive data security strategy
	7.10	Data security situational awareness
	7.11	Data destruction
8	Guidelines for using machine learning for data security in big data infrastructure
	8.1	Process of applying machine learning to data security
	8.2	Framework of using machine learning for data security
	8.3	Guidelines of using machine learning for data security
Appendix I – Machine learning classification and applicable scenarios
Bibliography