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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Alemayehu Tilahun Haile, Surafel Lemma Abebe, Henock Mulugeta Melaku
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	IEEE 2026-01-01
Sarja:	IEEE Access
Aiheet:	Cyber threat intelligence knowledge graph noise robustness ontology triple confidence
Linkit:	https://ieeexplore.ieee.org/document/11586024/
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