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Context Awareness through Reasoning on Private Analysis for Android Application

机译:背景上通过推理Android应用程序的私人分析

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Smartphone contains diverse sensitive private information, such as phone number, contact and credit. The Android platform employs permission mechanism to protect intensive information from illegal leakage. There are several tools to assist users to manage apps permissions, such as App Ops, Privacy Guard, and XPrivaey. However, the permission mechanism of Android is complicated, and only a few of smartphone users are familiar with Android security mechanism. In addition, it is difficult for smartphone users to know whether the privacy information exposure by Android applications is legal or not. Reverse engineering and program data flow analysis are basic approaches to analysis applications. Although it needs analysts to manual analysis results, its efficiency is largely depends on analysts' skills and experience. To improve analysis efficiency, we take a case-based reasoning method to simulation the security expert analysis applications. We translate the result of Android static analysis tools into cases and build a case reasoning library. Experiments show that it can help analysts to aid analysis Android applications.
机译:智能手机包含不同的敏感私人信息,例如电话号码,联系和信用。 Android平台采用许可机制来保护密集信息免受非法泄漏。有几种工具可以帮助用户管理应用程序权限,例如App Ops,Privacy Guard和Xprivaey。但是,Android的权限机制很复杂,只有少数智能手机用户熟悉Android安全机制。此外,智能手机用户难以知道Android应用程序是否敞口的隐私信息是合法的。逆向工程和程序数据流分析是分析应用的基本方法。虽然它需要分析师对手动分析结果,但其效率主要取决于分析师的技能和经验。为了提高分析效率,我们采取了基于案例的推理方法来仿真安全专家分析应用程序。我们将Android静态分析工具的结果转换为案例并构建一个案例推理库。实验表明它可以帮助分析师帮助分析Android应用程序。

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