|Spam Short Messages Detection via Mining Social Networks|
|Jianyun Liu; Yuhang Zhao; Zhaoxiang Zhang; Yunhong Wang; Xuemei Yuan; Lei Hu; Zhenjiang Dong
|Source Publication||Journal of Computer Science and Technology
|Abstract||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.|
|Corresponding Author||Zhaoxiang Zhang|
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.
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.
Jianyun Liu,et al."Spam Short Messages Detection via Mining Social Networks".Journal of Computer Science and Technology 27.3(2012):506-514.
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