Date Added: Jul 2013
In this paper, the authors give an overview about latest trend and techniques in spam filtering. They analyzed the problems which is introduced by spam, what spam actually do and how to measure the spam. This paper mainly focuses on automated, non-interactive filters, with a broad review ranging from commercial implementations to ideas confined to current research papers. The solutions using both machine and non - machine learning approaches are reviewed and taxonomy of different approaches is presented.