Android Malware Characterization Using Metadata and Machine Learning Techniques

Android malware has emerged as a consequence of the increasing popularity of smartphones and tablets. While most previous work focuses on inherent characteristics of Android apps to detect malware, this study analyses indirect features and metadata to identify patterns in malware applications. Our e...

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Veröffentlicht in:	Security and communication networks Jg. 2018; H. 2018; S. 1 - 11
Hauptverfasser:	Guzmán, Antonio, Muñoz, Alfonso, Hernández, José Alberto, Martín, Ignacio
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2018 Hindawi John Wiley & Sons, Inc
Schlagworte:	Accuracy Applications programs Classification Datasets Inspection Machine learning Malware Metadata Smartphones Support vector machines Tablet computers Trends User behavior
ISSN:	1939-0114, 1939-0122
Online-Zugang:	Volltext
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