March 12, 2024, 4:11 a.m. | Furkan \c{C}olhak, Mert \.Ilhan Ecevit, Hasan Da\u{g}, Reiner Creutzburg

cs.CR updates on arXiv.org arxiv.org

arXiv:2401.03196v2 Announce Type: replace
Abstract: Rising cyber threats, with miscreants registering thousands of new domains daily for Internet-scale attacks like spam, phishing, and drive-by downloads, emphasize the need for innovative detection methods. This paper introduces a cutting-edge approach for identifying suspicious domains at the onset of the registration process. The accompanying data pipeline generates crucial features by comparing new domains to registered domains,emphasizing the crucial similarity score. Leveraging a novel combination of Natural Language Processing (NLP) techniques, including a pretrained …

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