DocumentCode :
1424862
Title :
SMS Spam Detection Using Noncontent Features
Author :
Xu, Qian ; Xiang, Evan Wei ; Yang, Qiang ; Du, Jiachun ; Zhong, Jieping
Volume :
27
Issue :
6
fYear :
2012
Firstpage :
44
Lastpage :
51
Abstract :
Short Message Service text messages are indispensable, but they face a serious problem from spamming. This service-side solution uses graph data mining to distinguish spammers from nonspammers and detect spam without checking a message´s contents.
Keywords :
data mining; electronic messaging; unsolicited e-mail; SMS spam detection; graph data mining; noncontent features; service-side solution; short message service text messages; Classification algorithms; Electronic mail; Feature extraction; Short message services; Support vector machines; Telecommunications; Unsolicited electronic mail; Classification algorithms; Electronic mail; Feature extraction; SMS spam; Short Message Service; Short message services; Support vector machines; Telecommunications; Unsolicited electronic mail; data mining; social media spam; spam detection;
fLanguage :
English
Journal_Title :
Intelligent Systems, IEEE
Publisher :
ieee
ISSN :
1541-1672
Type :
jour
DOI :
10.1109/MIS.2012.3
Filename :
6133257
Link To Document :
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