A novel framework for SMS spam filtering

UYSAL A. K., GÜNAL S., ERGİN S., ŞORA GÜNAL E.

International Symposium on INnovations in Intelligent SysTems and Applications, INISTA 2012, Trabzon, Türkiye, 2 - 04 Temmuz 2012 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/inista.2012.6246947
  • Basıldığı Şehir: Trabzon
  • Basıldığı Ülke: Türkiye
  • Anahtar Kelimeler: mobile application, pattern recognition, SMS spam, spam filtering, text classification
  • Anadolu Üniversitesi Adresli: Evet

Özet

A novel framework for SMS spam filtering is introduced in this paper to prevent mobile phone users from unsolicited SMS messages. The framework makes use of two distinct feature selection approaches based on information gain and chi-square metrics to find out discriminative features representing SMS messages. The discriminative feature subsets are then employed in two different Bayesian-based classifiers, so that SMS messages are categorized as either spam or legitimate. Moreover, the paper introduces a real-time mobile application for Android™ based mobile phones utilizing the proposed spam filtering scheme, as well. Hence, SMS spam messages are silently filtered out without disturbing phone users. Effectiveness of the filtering framework is evaluated on a large SMS message collection including legitimate and spam messages. Following the evaluation, remarkably accurate classification results are obtained for both spam and legitimate messages. © 2012 IEEE.