A New Decision Tree Ensembles Method for Fake Apps Detection in Android
文献类型:会议论文
作者 | Huan Ren; Wei Zhang; Qingshan Jiang |
出版日期 | 2015 |
会议名称 | 2015 5th International Conference on Electrical Engineering and Informatics ELEEI 2015 |
会议地点 | Chongqing |
英文摘要 | The sharp increase in the number of smartphones makes the fake Apps in Android platform to be an urgent issue. Many approaches have been proposed to defend against these fake Apps. However, most of them have some disadvantage, such as low accuracy, not general, or not robust in big data. This paper proposes an automatic fake Apps detection method by using Decision Tree Ensembles based Detection (i.e., DTED). The DTED is a three-level ensemble method which capitalizes different voting technology. We extract permission features and API calls features relevant to fake Apps behavior by analyzing a large number of samples. Experimental results show that our method achieves accuracy as high as 91.6% and 91.13% F-measure, which performs better than other algorithms in big data. |
收录类别 | EI |
语种 | 英语 |
源URL | [http://ir.siat.ac.cn:8080/handle/172644/7010] ![]() |
专题 | 深圳先进技术研究院_数字所 |
作者单位 | 2015 |
推荐引用方式 GB/T 7714 | Huan Ren,Wei Zhang,Qingshan Jiang. A New Decision Tree Ensembles Method for Fake Apps Detection in Android[C]. 见:2015 5th International Conference on Electrical Engineering and Informatics ELEEI 2015. Chongqing. |
入库方式: OAI收割
来源:深圳先进技术研究院
浏览0
下载0
收藏0
其他版本
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。