A Robust Spam Detection System using a collaborative approach with an E-Mail Abstraction Scheme and Spam Tree Data Structure

E-mail communication has become a necessary part of our day to day life, however the e-mail spam problem  is on rise hugely. Unsolicited email is not only a nuisance but can be potentially dangerous.  In recent years, so many techniques are developed to detect the spam emails and the idea of collaborative  spam filtering with near-duplicate similarity matching  scheme has been commonly talked about. This scheme for spam detection maintains  a known spam database, formed by user  feedback, and then blocks succeeding near-duplicate spams. The prior works is mainly based upon a brief  abstraction derived from e-mail content text. However, these abstractions of e-mails cannot  fully catch  the growing nature  of spams, and  are  thus not successful  enough in near-duplicate detection. In this paper,  a novel e-mail abstraction scheme is proposed, which considers e-mail layout structure to represent e-mails. Moreover, a Robust and  Collaborative  Spam  Detection System is presented, which possesses an efficient near-duplicate matching  scheme and  a progressive update scheme

©2013 International Journal of Computer Science and Applications 

Published by Research Publications, India