Open source threat intelligence discovery based on topic detection

Dong Li, Xiao Zhou, Ao Xue
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引用次数: 3

Abstract

This paper analyzes open source threat data and identity emerging threat topics in real time. Based on the general topic detection technology, this paper deeply studies the feature extraction method in the security field. This paper studies the keyword feature extraction and entity feature extraction method. The experimental results show that the accuracy and F value of the proposed method are all above 0.98.
基于主题检测的开源威胁情报发现
本文对开源威胁数据进行分析,实时识别新兴威胁主题。本文在一般主题检测技术的基础上,深入研究了安全领域的特征提取方法。本文研究了关键词特征提取和实体特征提取方法。实验结果表明,该方法的精度和F值均在0.98以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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