MalPat: Mining Patterns of Malicious and Benign Android Apps via Permission-Related APIs.

IEEE Transactions on Reliability(2018)

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摘要
The dramatic rise of Android application (app) marketplaces has significantly gained the success of convenience for mobile users. Consequently, with the advantage of numerous Android apps, Android malware seizes the opportunity to steal privacy-sensitive data by pretending to provide functionalities as benign apps do. To distinguish malware from millions of Android apps, researchers have proposed ...
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关键词
Malware,Androids,Humanoid robots,Feature extraction,Mobile communication,Data mining,Security
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