A detection method for android application security based on TF-IDF and machine learning

Android is the most widely used mobile operating system (OS). A large number of third-party Android application (app) markets have emerged. The absence of third-party market regulation has prompted research institutions to propose different malware detection techniques. However, due to improvements...

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Veröffentlicht in:	PloS one Jg. 15; H. 9; S. e0238694
Hauptverfasser:	Yuan, Hongli, Tang, Yongchuan, Sun, Wenjuan, Liu, Li
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	San Francisco Public Library of Science 11.09.2020 Public Library of Science (PLoS)
Schlagworte:	Accuracy Algorithms Applications programs Cognition Computer and Information Sciences Computer applications Engineering Engineering and Technology Learning algorithms Machine learning Malware Methods Methyltestosterone Mobile operating systems Operating systems Operating systems (Software) Physical Sciences Research and Analysis Methods Research facilities Research institutions Safety and security measures Security Smartphones Third party China
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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