Android malware detection based on improved random forest

Android malware detection based on improved random forest

Aiming at the defect of vote principle in random forest algorithm which is incapable of distinguishing the differences between strong classifier and weak classifier,a weighted voting improved method was proposed,and an improved random forest classification (IRFCM) was proposed to detect Android malw...

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Bibliographic Details
Main Authors:	Hong-yu YANG, Jin XU
Format:	Article
Language:	zho
Published:	Editorial Department of Journal on Communications 2017-04-01
Series:	Tongxin xuebao
Subjects:	random forest;weighted vote;malware;classification detection
Online Access:	http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2017073
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