CASIA OpenIR  > 类脑智能研究中心
Spam Short Messages Detection via Mining Social Networks
Jianyun Liu; Yuhang Zhao; Zhaoxiang Zhang; Yunhong Wang; Xuemei Yuan; Lei Hu; Zhenjiang Dong
2012-05-19
发表期刊Journal of Computer Science and Technology
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
专题类脑智能研究中心
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.
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
[Jianyun Liu]的文章
[Yuhang Zhao]的文章
[Zhaoxiang Zhang]的文章
百度学术
百度学术中相似的文章
[Jianyun Liu]的文章
[Yuhang Zhao]的文章
[Zhaoxiang Zhang]的文章
必应学术
必应学术中相似的文章
[Jianyun Liu]的文章
[Yuhang Zhao]的文章
[Zhaoxiang Zhang]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。