Android malware detection via efficient application programming interface call sequences extraction and machine learning classifiers

Malware detection is an important task for the ecosystem of mobile applications (APPs), especially for the Android ecosystem, and is vital to guarantee the user experience of Android APPs. There have been some exiting methods trying to solve the problem of malware detection, but the methods suffer f...

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Veröffentlicht in:	IET software Jg. 17; H. 4; S. 348 - 361
Hauptverfasser:	Wang, Tanjie, Xu, Yueshen, Zhao, Xinkui, Jiang, Zhiping, Li, Rui
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	John Wiley & Sons, Inc 01.08.2023 Wiley
Schlagworte:	Algorithms Android (operating system) Applications programming computational complexity Machine learning Mobile applications pattern classification software quality software reliability Spyware Technology application Wireless telephone software
ISSN:	1751-8806, 1751-8814
Online-Zugang:	Volltext
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