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This study combines static and dynamic types of analysis to design a malware detection system for Android. This system enables a user to apply static analysis to check an application on their mobile phone before setup; if there is problem, it will be uploaded to the server for dynamic analysis. The dynamic analysis runs the application in a sandbox simulator, and then uses the tool designed in this...
This paper proposes a detection system for malicious apps in the Android mobile phones. The proposed system mainly extracts permissions and sensitive functions applied by an app, plus two additional features native-permissions and intent-priority, to conduct static analysis. Besides, the system also uses a sandbox, i.e., an emulator, to record and analyze the app's behavior. For the latter, this study...
Smart phone users often neglect security issues, and directly confirm the pop-up windows without reading the permission requirement of the software. As a result, many smart phones have been implanted with virus. In the Android market, malicious software is disguised as games for users to download, thus resulting in malicious consumption, phone resource consumption, assistance in crime, or information...
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