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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| Hoofdauteurs: | , |
|---|---|
| Formaat: | Artigo |
| Taal: | Chinês |
| Gepubliceerd in: |
Editorial Department of Journal on Communications
2017-04-01
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| Reeks: | Tongxin xuebao |
| Onderwerpen: | |
| Online toegang: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2017073 |
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