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...

Celý popis

Podrobná bibliografia

Vydané v:	Security and communication networks Ročník 2018; číslo 2018; s. 1 - 11
Hlavní autori:	Guzmán, Antonio, Muñoz, Alfonso, Hernández, José Alberto, Martín, Ignacio
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Cairo, Egypt Hindawi Publishing Corporation 01.01.2018 Hindawi John Wiley & Sons, Inc
Predmet:	Accuracy Applications programs Classification Datasets Inspection Machine learning Malware Metadata Smartphones Support vector machines Tablet computers Trends User behavior
ISSN:	1939-0114, 1939-0122
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!