文章詳目資料
Journal of Computers EIMEDLINEScopus
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| 篇名 | The Abnormal Behavior Detection Model of the Mobile Internet Based on Selective Semi-supervised Learning |
|---|---|
| 卷期 | 27:3 |
| 作者 | Zhen-Jiang Zhang 、 Yu-Wan Wang 、 Zi-Qi Hao |
| 頁次 | 081-096 |
| 關鍵字 | behavior audit 、 machine learning 、 mobile Internet 、 EI 、 MEDLINE 、 Scopus |
| 出刊日期 | 201610 |
| DOI | 10.3966/199115592016102703009 |
中文摘要
英文摘要
The mobile Internet has higher safety requirements than the traditional Internet in terms of the protection of users’ privacy and behavior. In this paper, we study the key technique of the behavior audit, then combine semi-supervised learning with the selective integration technique and propose an abnormal behavior detection model based on selective semi-supervised learning. The simulation results have proven the effectiveness of the detection model.
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