A mail discrimination study using network basis tools

Ozdemir M., Kılıç E.

24th Signal Processing and Communication Application Conference (SIU), Zonguldak, Turkey, 16 - 19 May 2016, pp.1537-1540 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2016.7496045
  • City: Zonguldak
  • Country: Turkey
  • Page Numbers: pp.1537-1540
  • Keywords: spam discrimination, DNS, SPF record, reverse DNS, Support Vector Machines
  • Ondokuz Mayıs University Affiliated: Yes


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.