Identifying and Categorizing Malicious Content on Paste Sites: A Neural Topic Modeling Approach
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Cybercriminals dump stolen data, credit card numbers, and malware code onto public text-sharing sites like Pastebin. This study builds a new machine-learning method that combines a language model (BERT) with topic modeling to automatically sort millions of these posts into categories, helping security teams spot leaked sensitive information and emerging threats faster.
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Benjamin M. Ampel
Assistant Professor in Computer Information Systems and Director, Center for CyberAI Research (CCAIR)
My research focuses on AI-enabled Cybersecurity, including Cyber Threat Intelligence, Large Language Models, and Phishing Detection.