International Journal of Education and Management Engineering(IJEME)
ISSN: 2305-3623 (Print), ISSN: 2305-8463 (Online)
Published By: MECS Press
IJEME Vol.3, No.2, Feb. 2013
Collaborative Spam Mail Filtering Model Design
Full Text (PDF, 298KB), PP.66-71
This thesis analyzes the characteristic and regulation of anti-spam technologies. Based of these facts, this paper brings forward a collaborative anti-spam filtering model for E-mail. Our system not only defends the repeated spam mails at the router layer but also has a higher accuracy than Spam Assassin. Presents the structure of the model and give some necessary sketch maps. Explicates carefully our idea of the design and many technologies related to the model and discusses especially many key-points too. Finally, we give the experiment results.
Cite This Paper
Zhiyi Liu,Rui Chang,"Collaborative Spam Mail Filtering Model Design", IJEME, vol.3, no.2, pp.66-71, 2013.
 J.jun, E.si. An Empirical Study of Spam Traffic and the Use of DNS Black Lists. Proceeding of the 4th ACM SIGCOMM Conference on Internet Measurement, Tarmina, Italy,2004, pp. 370-375.
 Androutsopoulos, I., G. Paliouras and E. Michelakis, “Learning to Filter Unsolicited Commercial E-Mail,” Technical report of National Centre for Sensor Research, 2004.
 SpamAssassin, “Tests Performed: v3.2.x,” The Apache SpamAssassin Project, 2008.
 Tran, Q. A., H. Duan and X. Li, “Real-time statistical rules for spam detection,” International Journal of Computer Science and Network Security (IJCSNS), Vol. 6, No.2, pp.178-184, 2006.
 Lai, C., “ An Empirical Study of Three Machine Learning Methods for Spam Filtering,” Knowledge-Based System, Vol. 20, No. 3, pp. 249-254, 2007.
 Blanzieri, E. and A. Bryl, “Evaluation of the Highest Probability SVM Nearest Neighbor Classifier with Variable Relative Error Cost,” Proceedings of Conference on Email and Anti-Spam (CEAS), 2007.
 E Damiani,S De Capitani di Vimercati, S Paraboschi et a1. An open digest-based technique for spam detection. In proceedings of the 2004 International Workshop on Security in Parallel and Distributed Systems. San Francisco, CA, USA, September 2004.