May 9, 2024, 4:41 a.m. | Felipe Moreno-Vera

cs.LG updates on arXiv.org arxiv.org

arXiv:2405.04561v1 Announce Type: cross
Abstract: The increasing sophistication of cyber threats necessitates proactive measures to identify vulnerabilities and potential exploits. Underground hacking forums serve as breeding grounds for the exchange of hacking techniques and discussions related to exploitation. In this research, we propose an innovative approach using topic modeling to analyze and uncover key themes in vulnerabilities discussed within these forums. The objective of our study is to develop a machine learning-based model that can automatically detect and classify vulnerability-related …

abstract arxiv cs.ai cs.cr cs.lg cyber discussions exploitation exploits hacking identify modeling research serve the exchange threats topic modeling topics type vulnerabilities

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