A mail discrimination study using network basis tools

Ozdemir M., Kılıç E.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Türkiye, 16 - 19 Mayıs 2016, ss.1537-1540 identifier identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Doi Numarası: 10.1109/siu.2016.7496045
  • Basıldığı Şehir: Zonguldak
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.1537-1540
  • Anahtar Kelimeler: spam discrimination, DNS, SPF record, reverse DNS, Support Vector Machines
  • Ondokuz Mayıs Üniversitesi Adresli: Evet

Özet

Today, many methods used for the junk e-mail (spam) discrimination. For example, blacklists and some machine learning methods. Blacklists consists of IP addresses and domain names of spammers who previously sent e-mails and caught as spam. Machine learning methods are also among many other studies in which many studies have been done in recent years. Trained machines using e-mail header information, e-mail content and sender domain information decide newly incoming e-mail messages as spam or not. In this study, a new spam filtering technique which uses machine learning with Support Vector Machine (SVM) using header information of an e-mail and some networking tools have been proposed.