Spam detection using web page content
Marco Túlio Ribeiro, Pedro Guerra, Leonardo Vilela, Adriano Veloso, Dorgival O. Guedes, Wagner Meira, Marcelo H. P. C. Chaves, Klaus Steding-Jessen, Cristine Hoepers · 2011
Traditional content-based e-mail spam filtering takes into account content of e-mail messages and apply machine learning techniques to infer patterns that discriminate spams from hams. In particular, the use of content-based spam filtering unleashed an unending arms race between spammers and filter developers, given the spammers' ability to continuously change spam message content in ways that might circumvent the current filters. In this paper, we propose to expand the horizons of content-based filters by taking into consideration the content of the Web pages linked by e-mail messages.