Think-an image based CAPTCHA mechanism (testifying human based on intelligence and knowledge)
Proceedings of the International Conference on Advances in Computing, Communication and Control
A behavior-based SMS antispam system
IBM Journal of Research and Development
Simple SMS spam filtering on independent mobile phone
Security and Communication Networks
An empirical study on efficiency and effectiveness of localized vs. Latin-based CAPTCHA challenges
Proceedings of the 17th Panhellenic Conference on Informatics
A survey of image spamming and filtering techniques
Artificial Intelligence Review
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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. Index Terms--SMS spam (short message service spam), group sending, CAPTCHA (Completely Automated Public Turing test to tell Computers and Human Apart), (OCR) Optical Character Recognition, user authentication.