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A Robust Cybersecurity Topic Classification Tool
Feb. 28, 2024, 5:11 a.m. | Elijah Pelofske, Lorie M. Liebrock, Vincent Urias
cs.CR updates on arXiv.org arxiv.org
Abstract: In this research, we use user defined labels from three internet text sources (Reddit, Stackexchange, Arxiv) to train 21 different machine learning models for the topic classification task of detecting cybersecurity discussions in natural text. We analyze the false positive and false negative rates of each of the 21 model's in a cross validation experiment. Then we present a Cybersecurity Topic Classification (CTC) tool, which takes the majority vote of the 21 trained machine learning …
arxiv classification cs.cl cs.cr cs.ir cs.lg cybersecurity defined discussions false positive internet machine machine learning machine learning models natural reddit research task text tool topic train
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