A Spam Filtering Scheme Based on Scalable Decision Tree

Jing Wang; Xing Wei Wang; Min Huang

doi:10.4028/www.scientific.net/AMM.602-605.3076

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 602-605A Spam Filtering Scheme Based on Scalable Decision...

A Spam Filtering Scheme Based on Scalable Decision Tree

Abstract:

Nowadays, Internet has been flooded with spams, which not only disrupts routine network application, but also affects people’s normal life and work. Thus, an accurate and effective spam filtering scheme is indispensable. In this paper, the scalable decision tree is utilized to analyze feature information of email-header to obtain anti-spam rules, which can be further used to filter spams. As is shown in the test result that the proposed scheme has satisfying performance and it is feasible in spam filtering.

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Periodical:

Applied Mechanics and Materials (Volumes 602-605)

Pages:

3076-3079

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.602-605.3076

Citation:

Cite this paper

Online since:

August 2014

Authors:

Jing Wang*, Xing Wei Wang, Min Huang

Keywords:

Email-Header, Feature Information, Filtering, Scalable Decision Tree, Spam

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* - Corresponding Author

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