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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| 主要な著者: | , |
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| フォーマット: | Artigo |
| 言語: | Chinês |
| 出版事項: |
Editorial Department of Journal on Communications
2017-04-01
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| シリーズ: | Tongxin xuebao |
| 主題: | |
| オンライン･アクセス: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2017073 |
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