RotAtt: Noise-Tolerant Fusion for Quality Assessment of Ontology-Driven Knowledge Graphs in Multi-Source Cyber Threat Intelligence
Cyber threat intelligence (CTI) is heterogeneous and noisy, complicating the construction and quality assessment of cybersecurity knowledge graphs (KGs), which are multi-relational graphs in which real-world facts are represented as triples: a head entity, relation, and tail entity (h, r, t). We pre...
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| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
IEEE
2026-01-01
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| Series: | IEEE Access |
| Assuntos: | |
| Acceso en liña: | https://ieeexplore.ieee.org/document/11586024/ |
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