%0 Journal Article
%T Filtering Spam: Current Trends and Techniques
%A Geerthik S.
%A Anish T. P.
%J International Journal of Mechatronics, Electrical and Computer Technology
%D 2013
%I Austrian E-Journals of Universal Scientific Organization
%X This article gives an overview about latest trend and techniques in spam filtering. We analyzed the problems which is introduced by spam ,what spam actually do and how to measure the spam .This article 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 ¨Cmachine learning approaches are reviewed and taxonomy of different approaches is presented. While a range of different techniques have and continue to be evaluated in academic research, heuristic and Bayesian filtering, along with its variants provide the greatest potential for future spam prevention.
%K spam filter
%K Non-machine learning filters
%K machine learning filters
%K Bayesian-filters
%U http://aeuso.org/Vol.3/Vol.3(8),%20Jul,%202013/Filtering%20Spam%20Current%20Trends%20and%20Techniques.pdf