EdgeMiner: Automatically Detecting Implicit Control Flow Transitions through the Android Framework
EdgeMiner: Automatically Detecting Implicit Control Flow Transitions through the Android Framework
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DOI：
10.14722/ndss.2015.23140
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
Yinzhi Cao;Y. Fratantonio;Antonio Bianchi;Manuel Egele;Christopher Krügel;Giovanni Vigna;Yan Chen
中科院分区：
文献类型：
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作者：
Yinzhi Cao;Y. Fratantonio;Antonio Bianchi;Manuel Egele;Christopher Krügel;Giovanni Vigna;Yan Chen
Android 用户可以从官方 Google Play 市场提供的超过一百万个应用程序（应用程序）中进行选择。此外，还有大量的 Android 应用程序替代源可供用户选择。这些范围从亚马逊应用商店等精选商店到提供盗版内容的不太合法的来源。移动应用程序的数量之多促使学术界和工业界的研究人员开发静态分析技术，以检查这些应用程序的漏洞和恶意功能。 Android 应用程序始终在 Android 框架的上下文中执行 - Android 框架是开发人员可以在其应用程序中方便地使用的功能的综合集合。该框架的大量使用给 Android 应用程序的分析带来了独特的挑战。
Android users can choose from over one million applications (apps) offered through the official Google Play marketplace. Furthermore, a wealth of alternative sources for Android applications is available for users to choose from. These range from curated stores, such as Amazon’s Appstore to less legitimate sources that offer pirated content. The sheer number of mobile applications prompted researchers from academia and industry to develop static analysis techniques that scrutinize these applications for vulnerabilities and malicious functionality. Android applications always execute in the context of the Android framework — a comprehensive collection of functionality that developers can conveniently use from their applications. The prolific use of the framework poses unique challenges for the analysis of Android applications.