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A whitebox approach for automated security testing of Android applications on the cloud

机译:云上的Android应用程序自动安全测试的白框方法

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By changing the way software is delivered to end-users, markets for mobile apps create a false sense of security: apps are downloaded from a market that can potentially be regulated. In practice, this is far from truth and instead, there has been evidence that security is not one of the primary design tenets for the mobile app stores. Recent studies have indicated mobile markets are harboring apps that are either malicious or vulnerable leading to compromises of millions of devices. The key technical obstacle for the organizations overseeing these markets is the lack of practical and automated mechanisms to assess the security of mobile apps, given that thousands of apps are added and updated on a daily basis. In this paper, we provide an overview of a multi-faceted project targeted at automatically testing the security and robustness of Android apps in a scalable manner. We describe an Android-specific program analysis technique capable of generating a large number of test cases for fuzzing an app, as well as a test bed that given the generated test cases, executes them in parallel on numerous emulated Androids running on the cloud.
机译:通过更改软件被传递给最终用户的方式,移动应用程序的市场会创建错误的安全感:应用程序从可能受到监管的市场下载。在实践中,这远非真理,而是证据表明,安全性不是移动应用商店的主要设计原则之一。最近的研究表明,移动市场正在涉及恶意或易受攻击的应用,导致数百万设备妥协。监督这些市场的组织的关键技术障碍是缺乏评估移动应用的安全性的实用和自动化机制,因为每天添加数千个应用程序并更新。在本文中,我们概述了针对以可扩展方式自动测试Android应用程序的安全性和鲁棒性的多面项目。我们描述了一种能够生成大量测试用例的Android特定的程序分析技术,用于模糊应用程序,以及给出生成的测试用例的测试床,并行地执行云上运行的众多模拟的Androids上。

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