Akademik Veri Yönetim Sistemi
2nd International Conference on Security of Information and Networks, SIN'09, Famagusta, Kıbrıs (Gkry), 6 - 10 Ekim 2009, ss.179-185
Content-based filtering techniques for SPAM recognition require considerable amount of computational resources. Moreover, because the spammers are able to change the content as they wish, content-based filtering is not very successful. For this reason network-based filtering is gaining importance, and Sender Policy Framework (SPF) is a protocol that can provide an efficient filtering technique. In this paper, the advantage of the presence of SPF records and an SPF prediction method developed for domains without SPF records are explained. The SPF prediction method has been applied on the e-mails of thousands of volunteering users who are in our university domain deu.edu.tr, for SPAM filtering. First results of the proposed SPF prediction method are more promising than the present popular filtering methods. Copyright 2009 ACM.