论文标题
在Android应用中的自动特征提取，分类和恶意代码检测
Automatic Feature Extraction, Categorization and Detection of Malicious Code in Android Applications
论文作者
论文摘要
自从Android最近成为移动设备的流行软件平台以来；他们提供与个人计算机几乎相同的功能。 Malwares也已成为一个大问题。随着在不久的将来，新的Android应用的数量往往会迅速增加，因此需要快速有效地检测自动故障。在本文中，我们定义了一种简单的静态分析方法，可以根据意图和类别将应用程序的特征提取为已知的主要类别，然后与应用程序要求的权限映射，并将其与最明显的类别进行比较。结果，了解哪些应用程序正在使用不应使用或不需要的功能。
Since Android has become a popular software platform for mobile devices recently; they offer almost the same functionality as personal computers. Malwares have also become a big concern. As the number of new Android applications tends to be rapidly increased in the near future, there is a need for automatic malware detection quickly and efficiently. In this paper, we define a simple static analysis approach to first extract the features of the android application based on intents and categories the application into a known major category and later on mapping it with the permissions requested by the application and also comparing it with the most obvious intents of category. As a result, getting to know which apps are using features which they are not supposed to use or they do not need.
