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A Novel Technique of Email Classification for Spam Detection

Vinod Patidar, Divakar Singh, Anju Singh Published in Information Sciences

International Journal of Applied Information Systems
Year of Publication: 2013
© 2012 by IJAIS Journal
10.5120/ijais13-450976
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  1. Vinod Patidar, Divakar Singh and Anju Singh. Article: A Novel Technique of Email Classification for Spam Detection. International Journal of Applied Information Systems 5(10):15-19, August 2013. BibTeX

    @article{key:article,
    	author = "Vinod Patidar and Divakar Singh and Anju Singh",
    	title = "Article: A Novel Technique of Email Classification for Spam Detection",
    	journal = "International Journal of Applied Information Systems",
    	year = 2013,
    	volume = 5,
    	number = 10,
    	pages = "15-19",
    	month = "August",
    	note = "Published by Foundation of Computer Science, New York, USA"
    }
    

Abstract

Email spam is one of the unsolved problems of the today's Internet, annoying individual users and bringing financial damage to companies. Among the approaches developed to stop spam emails, filtering is a popular and important one. Common uses for email filters include organizing incoming email and computer viruses and removal of spam. As spammers periodically find new ways to bypass spam filters and distribute spam messages, researchers need to stay on the forefront of this problem to help reduce the amount of spam messages. Currently spam emails occupy more than 70% of all email traffic. The negative effect spam has on companies is greatly related to financial aspects and the productivity of employees in the workplace. In this paper, we propose the new approach to classify spam emails using support vector machine. It found that the SVM outperformed than other classifiers.

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Keywords

Support vector, spam, non spam, email, ann