Robust Mobile Spamming Detection Via Graph Patterns
文献类型：会议论文
| 作者 | Yuhang Zhao; Zhaoxiang Zhang ; Yunhong Wang
|
| 出版日期 | 2012-11-11 |
| 会议日期 | 11-15 November 2012 |
| 会议地点 | Tsukuba, Japan |
| 关键词 | Feature Extraction Social Network Services Robustness Mobile Communication Unsolicited Electronic Mail Humans Receivers |
| 英文摘要 | Short message service (SMS) is now an indispensable way of social communication. However the mobile spam is getting increasingly serious, troubling users' daily life and ruining the service quality. We propose a novel approach for spam message detection based on mining the underlying social network of SMS activities. Comparing with strategies on keywords or flow detection, our network-based approach is more robust and difficult to defeat by human spammers. Various levels of features are employed to describe multiple aspects of the network, such as static structures, node activities and evolving situations. Experimental results on real dataset illustrate effectiveness of various features, showing our promising results. |
| 会议录 | ICPR 2012
 |
| 源URL | [http://ir.ia.ac.cn/handle/173211/13262]  |
| 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 | Yuhang Zhao,Zhaoxiang Zhang,Yunhong Wang. Robust Mobile Spamming Detection Via Graph Patterns[C]. 见:. Tsukuba, Japan. 11-15 November 2012. |
入库方式： OAI收割
来源：自动化研究所
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