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SecureReg: A Combined Framework for Proactively Exposing Malicious Domain Name Registrations
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
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 …
arxiv attacks cs.ai cs.cr cutting cyber cyber threats daily detection domain domain name domains downloads drive drive-by drive-by downloads edge exposing framework internet malicious name new domains phishing process registration registrations rising scale spam suspicious domains threats
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