Android malware detection based on system call sequences and LSTM

As Android-based mobile devices become increasingly popular, malware detection on Android is very crucial nowadays. In this paper, a novel detection method based on deep learning is proposed to distinguish malware from trusted applications. Considering there is some semantic information in system ca...

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Veröffentlicht in:	Multimedia tools and applications 2019-02, Vol.78 (4), p.3979-3999
Hauptverfasser:	Xiao, Xi, Zhang, Shaofeng, Mercaldo, Francesco, Hu, Guangwu, Sangaiah, Arun Kumar
Format:	Artikel
Sprache:	eng
Schlagworte:	Classifiers Computer Communication Networks Computer Science Data Structures and Information Theory Electronic devices Machine learning Malware Multimedia Information Systems Sequences Special Purpose and Application-Based Systems
Online-Zugang:	Volltext
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