An empirical study of spam traffic and the use of DNS black lists
Proceedings of the 4th ACM SIGCOMM conference on Internet measurement
An evaluation of statistical spam filtering techniques
ACM Transactions on Asian Language Information Processing (TALIP)
Adaptive Spam Filtering Using Dynamic Feature Space
ICTAI '05 Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence
How is e-mail sender authentication used and misused?
Proceedings of the 8th Annual Collaboration, Electronic messaging, Anti-Abuse and Spam Conference
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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.