论文标题
移动恶意软件检测中的特征很重要
Feature importance in mobile malware detection
论文作者
论文摘要
在过去几年中，Android平台上移动恶意软件检测的主题引起了极大的关注。但是，尽管已经对移动恶意软件检测技术进行了许多研究，但很少关注以选择和特征重要性。也就是说，在机器学习分类方面，哪个应用程序功能更重要。在对所有专业进行了简洁的调查，该专业的日期为2012年至2020年之后，最先进的恶意软件检测作品使用的数据集，我们分析了来自最现代和盛行的数据集的临界应用程序，即Drebin，Virusshare和Androzoo。接下来，我们对使用信息增益算法的所有三个上述数据集的信息和意图有关的应用程序分类功能的重要性进行了排名。
The topic of mobile malware detection on the Android platform has attracted significant attention over the last several years. However, while much research has been conducted toward mobile malware detection techniques, little attention has been devoted to feature selection and feature importance. That is, which app feature matters more when it comes to machine learning classification. After succinctly surveying all major, dated from 2012 to 2020, datasets used by state-of-the-art malware detection works in the literature, we analyse a critical mass of apps from the most contemporary and prevailing datasets, namely Drebin, VirusShare, and AndroZoo. Next, we rank the importance of app classification features pertaining to permissions and intents using the Information Gain algorithm for all the three above-mentioned datasets.
