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http://dx.doi.org/10.5392/JKCA.2011.11.12.122

Personalized Mobile Junk Message Filtering System  

Lee, Seung-Jae (전남대학교 전자컴퓨터공학과)
Choi, Deok-Jai (전남대학교 전자컴퓨터공학과)
Publication Information
The Journal of the Korea Contents Association / v.11, no.12, 2011 , pp. 122-135 More about this Journal
Abstract
Mobile spam message is a harmful factor which makes receivers to be annoyed and leads to unnecessary social cost. Unwanted junk messages flowing to a smart phone ruin main purpose of the smart work system to enhance the productivity, so we need to study on this area. In this paper, we proposed a novel spam filter on the smartphone in order to reduce computing process and improve the accuracy rate by feedback of error results to a training sample set. As the spam classifier operates on the smartphone independently with training on only user's received data, it could reflect user preference. The authorized personal computer takes on heavy works, such as preprocessing, feature selecting and training process, and the smartphone takes on light works to block junk messages. Experimental results showed reasonable accuracy rate of over 95%, and we found that the application occupied constant computing resources while running on the phone.
Keywords
Mobile Spam Message; Smartphone; Spam Filter;
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Times Cited By KSCI : 6  (Citation Analysis)
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