论文标题
恶意软件分类的新型功能表示
A Novel Feature Representation for Malware Classification
论文作者
论文摘要
在这项研究中，我们为恶意程序提供了一种新颖的功能表示，可用于恶意软件分类。我们已经展示了如何在自下而上的方法中构建功能，并根据其组件分析了恶意和良性程序的重叠。我们已经表明，我们的分析方法可提高特征分辨率，与TF-IDF功能相比，数据移动描述了。
In this study we have presented a novel feature representation for malicious programs that can be used for malware classification. We have shown how to construct the features in a bottom-up approach, and analyzed the overlap of malicious and benign programs in terms of their components. We have shown that our method of analysis offers an increase in feature resolution that is descriptive of data movement in comparison to tf-idf features.
