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Personalized Mobile Junk Message Filtering System

사용자 맞춤형 스팸 문자 필터링 시스템

  • 이승재 (전남대학교 전자컴퓨터공학과) ;
  • 최덕재 (전남대학교 전자컴퓨터공학과)
  • Received : 2011.10.17
  • Accepted : 2011.11.22
  • Published : 2011.12.28

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

Acknowledgement

Supported by : 정보통신산업진흥원

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