Metadata driven malicious URL detection using RoBERTa large and multi source network threat intelligence

Abstract In this study, we address the critical security challenge of detecting malicious URLs, which serve as primary cause for website phishing, malware attacks, and website defacement. Detection of malicious links has remained active research in Artificial Intelligence as machine learning (ML) mo...

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Xehetasun bibliografikoak

Egile Nagusiak:	Lina Chen, Liang Meng
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Nature Portfolio 2026-01-01
Saila:	Scientific Reports
Gaiak:	Artificial intelligence Cybersecurity Malicious URLs detection Deep learning Transformers RoBERTa
Sarrera elektronikoa:	https://doi.org/10.1038/s41598-025-34790-x
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