Robust Mobile Spamming Detection Via Graph Patterns

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	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	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],2012.