Spam Short Messages Detection via Mining Social Networks

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	Spam Short Messages Detection via Mining Social Networks
	Jianyun Liu; Yuhang Zhao; Zhaoxiang Zhang; Yunhong Wang; Xuemei Yuan; Lei Hu; Zhenjiang Dong
发表期刊	Journal of Computer Science and Technology
	2012-05-19
卷号	27 期号:3 页码:506-514
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.
关键词	Spam Detection Social Network Graph Mining
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/13225
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	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.