CASIA OpenIR  > 类脑智能研究中心
Robust Mobile Spamming Detection Via Graph Patterns
Yuhang Zhao; Zhaoxiang Zhang; Yunhong Wang
2012-11-11
会议名称International Conference on Pattern Recognition
会议录名称ICPR 2012
会议日期11-15 November 2012
会议地点Tsukuba, Japan
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.
关键词Feature Extraction Social Network Services Robustness Mobile Communication Unsolicited Electronic Mail Humans Receivers
文献类型会议论文
条目标识符http://ir.ia.ac.cn/handle/173211/13262
专题类脑智能研究中心
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],2012.
条目包含的文件
条目无相关文件。
个性服务
推荐该条目
保存到收藏夹
查看访问统计
导出为Endnote文件
谷歌学术
谷歌学术中相似的文章
[Yuhang Zhao]的文章
[Zhaoxiang Zhang]的文章
[Yunhong Wang]的文章
百度学术
百度学术中相似的文章
[Yuhang Zhao]的文章
[Zhaoxiang Zhang]的文章
[Yunhong Wang]的文章
必应学术
必应学术中相似的文章
[Yuhang Zhao]的文章
[Zhaoxiang Zhang]的文章
[Yunhong Wang]的文章
相关权益政策
暂无数据
收藏/分享
所有评论 (0)
暂无评论
 

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。