Quality assessment of cyber threat intelligence knowledge graph based on adaptive joining of embedding model

Quality assessment of cyber threat intelligence knowledge graph based on adaptive joining of embedding model

Abstract In the research of cyber threat intelligence knowledge graphs, the current challenge is that there are errors, inconsistencies, or missing knowledge graph triples, which makes it difficult to cope with the complexity and diversified application requirements. Currently, the predominant appro...

Disgrifiad llawn

Manylion Llyfryddiaeth
Prif Awduron: Bin Chen, Hongyi Li, Di Zhao, Yitang Yang, Chengwei Pan
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: Springer 2024-11-01
Cyfres:Complex & Intelligent Systems
Pynciau:
Knowledge graph
Quality assessment
Reinforcement learning
Cyber threat intelligence
Mynediad Ar-lein:https://doi.org/10.1007/s40747-024-01661-3

Rhyngrwyd

https://doi.org/10.1007/s40747-024-01661-3

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