A SVM-based Spam Filtering System for Short Message Service (SMS) 


Vol. 34,  No. 9, pp. 908-913, Sep.  2009


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  Abstract

Mobile phones became important household appliance that cannot be without in our daily lives. And the short messaging service (SMS) in these mobile phones is 1.5 to 2 times more than the voice service. However, the spam filtering functions installed in mobile phones take a method to receive specific number patterns or words and recognize spam messages when those numbers or words are present. However, this method cannot properly filters various types of spam messages currently dispatched. This paper proposes a more powerful and more adaptive spam filtering system using SVM and thesaurus. The system went through a process of isolating words from sample data through pro-processing device and integrating meanings of isolated words using a thesaurus. Then it generated characteristics of integrated words through the chi-square statistics and studied the characteristics. The proposed system is realized in a Window environment and the performance is confirmed through experiments.

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  Cite this article

[IEEE Style]

I. Joe and H. Shim, "A SVM-based Spam Filtering System for Short Message Service (SMS)," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 9, pp. 908-913, 2009. DOI: .

[ACM Style]

Inwhee Joe and Hye-Taek Shim. 2009. A SVM-based Spam Filtering System for Short Message Service (SMS). The Journal of Korean Institute of Communications and Information Sciences, 34, 9, (2009), 908-913. DOI: .

[KICS Style]

Inwhee Joe and Hye-Taek Shim, "A SVM-based Spam Filtering System for Short Message Service (SMS)," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 9, pp. 908-913, 9. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880