Journal of Information Technology Services (한국IT서비스학회지)

Korea Society of IT Services (한국IT서비스학회)
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A Technique of Statistical Message Filtering for Blocking Spam Message

통계적 기법을 이용한 스팸메시지 필터링 기법

  • 김성윤 (숭실대학교 SW특성화대학원) ;
  • 차태수 (숭실대학교 SW특성화대학원) ;
  • 박제원 (숭실대학교 SW특성화대학원) ;
  • 최재현 (숭실대학교 SW특성화대학원) ;
  • 이남용 (숭실대학교 SW특성화대학원)
  • Received : 2014.07.28
  • Accepted : 2014.09.22
  • Published : 2014.09.30
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Abstract

Due to indiscriminately received spam messages on information society, spam messages cause damages not only to person but also to our community. Nowadays a lot of spam filtering techniques, such as blocking characters, are studied actively. Most of these studies are content-based spam filtering technologies through machine learning.. Because of a spam message transmission techniques are being developed, spammers have to send spam messages using term spamming techniques. Spam messages tend to include number of nouns, using repeated words and inserting special characters between words in a sentence. In this paper, considering three features, SPSS statistical program were used in parameterization and we derive the equation. And then, based on this equation we measured the performance of classification of spam messages. The study compared with previous studies FP-rate in terms of further minimizing the cost of product was confirmed to show an excellent performance.

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References

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