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Intelligent CVE Vulnerability Association by say.mansabdar is a document available to read on EtoBox.

This paper presents a method for intelligent association of CVE vulnerabilities using chain reasoning to enhance vulnerability analysis and knowledge extraction. It addresses issues in traditional vulnerability databases, proposing a knowledge graph built from multi-source vulnerability data to infer hidden relationships and optimize vulnerability scanning results. The study emphasizes the importance of real-time data integration and the use of web crawlers for efficient data collection, alongside the appli

Author

say.mansabdar

Language

EN