Spam Short Messages Detection via Mining Social Networks
文献类型：期刊论文
| 作者 | Jianyun Liu; Yuhang Zhao; Zhaoxiang Zhang ; Yunhong Wang; Xuemei Yuan; Lei Hu; Zhenjiang Dong
|
| 刊名 | Journal of Computer Science and Technology
 |
| 出版日期 | 2012-05-19 |
| 卷号 | 27期号:3页码:506-514 |
| 关键词 | Spam Detection Social Network Graph Mining |
| 英文摘要 | Short message service (SMS) is now becoming an indispensable way of social communication, and the problem of mobile spam is getting increasingly serious. We propose a novel approach for spam messages detection. Instead of conventional methods that focus on keywords or flow rate filtering, our system is based on mining under a more robust structure: the social network constructed with SMS. Several features, including static features, dynamic features and graph features, are proposed for describing activities of nodes in the network in various ways. Experimental results operated on real dataset prove the validity of our approach. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13225]  |
| 专题 | 自动化研究所_智能感知与计算研究中心 |
| 通讯作者 | Zhaoxiang Zhang |
| 推荐引用方式 GB/T 7714 | Jianyun Liu,Yuhang Zhao,Zhaoxiang Zhang,et al. Spam Short Messages Detection via Mining Social Networks[J]. Journal of Computer Science and Technology,2012,27(3):506-514. |
| APA | Jianyun Liu.,Yuhang Zhao.,Zhaoxiang Zhang.,Yunhong Wang.,Xuemei Yuan.,...&Zhenjiang Dong.(2012).Spam Short Messages Detection via Mining Social Networks.Journal of Computer Science and Technology,27(3),506-514. |
| MLA | Jianyun Liu,et al."Spam Short Messages Detection via Mining Social Networks".Journal of Computer Science and Technology 27.3(2012):506-514. |
入库方式： OAI收割
来源：自动化研究所
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