Static detection of Android malware by using permissions and API calls

P. Chan, Wen-Kai Song
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引用次数: 87

Abstract

Android smart phones have become more and more popular due to its increasing functionalities, compatibility and convenience. More and more Android applications have been developed and can be downloaded easily from app markets. However, Android malwares have increased significantly in recent years. In this paper, we proposed a feature set containing the permissions and API calls for Android malware static detection. Classifiers that used the proposed feature set outperform those only with the permissions experimentally. It showed that the information of API calls is helpful in recognizing Android malware.
通过使用权限和API调用静态检测Android恶意软件
Android智能手机因其不断增加的功能、兼容性和便利性而越来越受欢迎。越来越多的Android应用程序已经被开发出来,并且可以从应用程序市场轻松下载。然而,Android恶意软件近年来显著增加。在本文中,我们提出了一个包含Android恶意软件静态检测权限和API调用的特性集。使用所提出的特征集的分类器在实验中优于仅具有权限的分类器。结果表明,API调用信息有助于识别Android恶意软件。
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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