Comments: Transformer-Based Model for Malicious URL Classification

Transformer-Based Model for Malicious URL Classification

In recent years, cyber threats including malicious software, virus, spam, and phishing have grown aggressively via compromised Uniform Resource Locators (URLs). However, the current phishing URL detection solutions based on supervised learning use labeled data for training and classification, leadin...

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Bibliographic Details
Main Authors:	Do N.Q., Selamat A., Lim K.C., Krejcar O., Ghani N.A.M.
Other Authors:	57283917100
Format:	Conference Paper
Published:	Institute of Electrical and Electronics Engineers Inc. 2024
Subjects:	malicious URL classification natural language processing phishing detection transformer model unsupervised learning Classification (of information) Computer crime Learning algorithms Learning systems Natural language processing systems Supervised learning Viruses Zero-day attack 'current Cyber threats Labeled data Language processing Malicious uniform resource locator classification Natural language processing Natural languages Phishing Phishing detections Transformer modeling Deep learning
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Transformer-Based Model for Malicious URL Classification

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