DocumentCode :
3169778
Title :
Filtering Short Message Spam of Group Sending Using CAPTCHA
Author :
He, Peizhou ; Sun, Yong ; Zheng, Wei ; Wen, Xiangming
Author_Institution :
Beijing Univ. of Posts & Telecommun., Beijing
fYear :
2008
fDate :
23-24 Jan. 2008
Firstpage :
558
Lastpage :
561
Abstract :
Short message spam brings so much trouble to the users, and the volume of short message spam becomes more and more large, especially the function of group sending is used in short message. This paper proposes a method to filter short message spam of group sending, in other words, it utilizes CAPTCHA (completely automated public Turing test to tell computers and human apart) method to filter short message spam. If the short message service (SMS) can pass the CAPTCHA, it will be identified as legitimate SMS and transmitted by Short Message processing Center. Conversely, if the SMS can not pass the CAPTCHA, it will be identified as SMS spam and deleted by Short Message processing Center. Finally, it has been simulated with Smartphone of Microsoft Visual Studio 2005.
Keywords :
electronic messaging; information filtering; unsolicited e-mail; SMS spam; automated public Turing test; group sending; short message service; short message spam filtering; Automatic testing; Data mining; Filtering; Filters; Helium; Humans; Message service; Mobile communication; Optical character recognition software; Unsolicited electronic mail;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Knowledge Discovery and Data Mining, 2008. WKDD 2008. First International Workshop on
Conference_Location :
Adelaide, SA
Print_ISBN :
978-0-7695-3090-1
Type :
conf
DOI :
10.1109/WKDD.2008.131
Filename :
4470459
Link To Document :
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