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Malware detection has been a difficult problem for a very long time. Since the wide use of smart devices in recent years, the number of malwares is increasing rapidly. Most existing methods for malware detection rely too much on manual interventions (e.g. pre-defined features and patterns), which can be easily deceived. In this paper, we propose a novel end-to-end deep learning model to detect Android...
Although reflection methods in Android can facilitate developing applications, they will block control flow and data flow in static analysis, making its precision decreased. To solve this problem, we trigger applications to execute reflection methods and record its reflection targets at runtime. Reflection targets may be a method invocation, field setting or instantiating of some classes. Considering...
Android app is often used at multiple devices of one user. Sometimes, an app recognizes another device to be the same device which it has known, and bypasses its authentication process. As a result, an attacker can get the same privilege as the original device owner has for the app. In this paper, we show how to get the privilege of the device owner in Android app and how to defend against the attack...
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