3-TIER HYBRID APPROACH FOR SMS FILTERING


KILIC E., ARSLAN S. N. , GÜVENSAN M. A.

22nd IEEE Signal Processing and Communications Applications Conference (SIU), Trabzon, Türkiye, 23 - 25 Nisan 2014, ss.1950-1953 identifier identifier

  • Doi Numarası: 10.1109/siu.2014.6830638
  • Basıldığı Şehir: Trabzon
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1950-1953

Özet

Short Message Service is one of the most using services in mobile phones. In daily lift, several spam messages, which could disturb mobile phone users, are received frequently. Unwanted messages could be delivered for advertisement, annoucement of promotional events and/or only for disturbing people. In this study, 3-tier hybrid message filtering architecture has been introduced to protect the mobile users from spam messages. In the first two steps, incoming messages are classified based on the white /black lists and are identified as "legitimate SMS" and "spam SMS". If the number of incoming message is not in those lists, the message is examined according to their meaning and morphological features. The success rate of k-Nearest Neighbor and Naive Bayes algorithms is about 96%. The proposed architecture has been implemented on Android platform.