Over the past 5 years, spam sending technology has improved dramatically. Static messages sent opportunistically through misconfigured hosts have evolved into dynamically generate...
Recent email spam filtering evaluations, such as those conducted at TREC, have shown that near-perfect filtering results are attained with a variety of machine learning methods wh...
We study the usability of linguistic features in the Web spam classification task. The features were computed on two Web spam corpora: Webspam-Uk2006 and Webspam-Uk2007, we make t...
In this paper, we compare case-based spam filters, focusing on their resilience to concept drift. In particular, we evaluate how to track concept drift using a case-based spam fi...
The effectiveness of current anti-spam systems is limited by the ability of spammers to adapt to new filtering techniques and the lack of incentive for mail domains to filter outg...