High accuracy android malware detection using ensemble learning

With over 50 billion downloads and more than 1.3 million apps in Google's official market, Android has continued to gain popularity among smartphone users worldwide. At the same time there has been a rise in malware targeting the platform, with more recent strains employing highly sophisticated...

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Veröffentlicht in:	IET information security 2015-11, Vol.9 (6), p.313-320
Hauptverfasser:	Yerima, Suleiman Y, Sezer, Sakir, Muttik, Igor
Format:	Artikel
Sprache:	eng
Schlagworte:	Accuracy Android (operating system) Applications programs Computer information security ensemble machine learning Gain high accuracy Android malware detection invasive software learning (artificial intelligence) Machine learning Malware Platforms Smartphones static analysis
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