基于多数据源并发融合的网络资产推荐方法及系统
By constructing concurrent query tasks and multi-dimensional feature extraction in multi-data source network asset management, the problem of low asset data processing efficiency in existing technologies is solved, and efficient asset data processing and intelligent recommendation are achieved.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- NAT COMP NETWORK & INFORMATION SECURITY MANAGEMENT CENT
- Filing Date
- 2026-01-12
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies lack effective data processing mechanisms when integrating network assets from multiple data sources, resulting in low asset data processing efficiency and making it difficult to meet the needs of modern network security management for asset visualization and intelligent recommendation.
By receiving clues from online asset queries, multiple data sources are identified and concurrent query tasks are constructed. Multidimensional features of the asset query data are extracted, identifiers are generated, and the existence of assets is determined based on the identifiers. This enables intelligent identification and deduplication of duplicate assets, while simultaneously calculating recommendation coefficients to generate online asset recommendation results.
It significantly improves data acquisition efficiency, enables intelligent identification and deduplication of duplicate assets, ensures timely recording of newly discovered assets, and generates more accurate network asset recommendation results through differentiated evaluation.
Smart Images
Figure CN121502094B_ABST