Permissions Based Android Malware Stealing Privacy Data Detection

ZHE-LING ZENG, YI-TAO NI, BO-GANG LIN

Abstract


The large numbers of malwares steal user privacy data in the Android application market, which poses a huge threat to user privacy data. To alleviate the threat, a scheme is proposed in this paper which based on privilege-feature detection. First, we filter sensitive privilege-feature that used to achieve attack out from the built-in permissions of Android. Second, based on sensitive privilege-feature, I design a scoring formula which can used to determine if the application is malicious; Last, I implement a prototype tool base on this method. Using this tool to detect malicious applications, the experimental results show that this method is more effective than the general antivirus engine.

Keywords


Permission mechanism; Malware; Privacy data


DOI
10.12783/dtcse/iceit2017/19871

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