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Email categorization using (2+1)-tier classification algorithms

Islam, Md. Rafiqul, Zhou, Wanlei and Chowdhury, Morshed U. 2008, Email categorization using (2+1)-tier classification algorithms, in ICIS 2008 : Proceedings of the 7th IEEE/ACIS International Conference on Computer and Information Science 2008, IEEE Computer Society, Los Alamitos, Calif., pp. 276-281.

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Title Email categorization using (2+1)-tier classification algorithms
Author(s) Islam, Md. Rafiqul
Zhou, Wanlei
Chowdhury, Morshed U.
Conference name International Conference on Computer and Information Science (7th : 2008 : Portland, Oregon)
Conference location Portland, Oregon
Conference dates 14-16 May 2008
Title of proceedings ICIS 2008 : Proceedings of the 7th IEEE/ACIS International Conference on Computer and Information Science 2008
Editor(s) [Unknown]
Publication date 2008
Conference series International Conference on Computer and Information Science
Start page 276
End page 281
Publisher IEEE Computer Society
Place of publication Los Alamitos, Calif.
Summary In this paper we have proposed a spam filtering technique using (2+1)-tier classification approach. The main focus of this paper is to reduce the false positive (FP) rate which is considered as an important research issue in spam filtering. In our approach, firstly the email message will classify using first two tier classifiers and the outputs will appear to the analyzer. The analyzer will check the labeling of the output emails and send to the corresponding mailboxes based on labeling, for the case of identical prediction. If there are any misclassifications occurred by first two tier classifiers then tier-3 classifier will invoked by the analyzer and the tier-3 will take final decision. This technique reduced the analyzing complexity of our previous work. It has also been shown that the proposed technique gives better performance in terms of reducing false positive as well as better accuracy.
ISBN 9780769531311
Language eng
Field of Research 080303 Computer System Security
080309 Software Engineering
HERDC Research category E1.1 Full written paper - refereed
Copyright notice ©2008, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30025744

Document type: Conference Paper
Collection: School of Engineering and Information Technology
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