Minimizing the drawbacks of grey-list analyser in synthesis based spam filtering

Islam, Md Rafiqul and Chowdhury, Morshed U. 2009, Minimizing the drawbacks of grey-list analyser in synthesis based spam filtering, Journal of electronics and computer science, vol. 11, no. 1, pp. 89-96.

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Title Minimizing the drawbacks of grey-list analyser in synthesis based spam filtering
Author(s) Islam, Md Rafiqul
Chowdhury, Morshed U.
Journal name Journal of electronics and computer science
Volume number 11
Issue number 1
Start page 89
End page 96
Total pages 8
Publisher IJECS
Place of publication [U.S.A.]
Publication date 2009
ISSN 1229-425X
Summary In the last decade, the rapid growth of the Internet and email, there has been a dramatic growth in spam. Spam is commonly defined as unsolicited email messages and protecting email from the infiltration of spam is an important research issue. Classifications algorithms have been successfully used to filter spam, but with a certain amount of false positive trade-offs, which is unacceptable to users sometimes. This paper presents an approach of email classification to overcome the burden of analyzing technique of GL (grey list) analyzer as further refinements of synthesis based email classification technique. In this approach, we introduce a “majority voting grey list (MVGL)” analyzing technique which will analyze the GL emails by using the majority voting (MV) algorithm. We have presented two different variations of the MV system, one is simple MV (SMV) and other is the Ranked MV (RMV). Our empirical evidence proofs the improvements of this approach compared to existing GL analyzer [7].
Language eng
Field of Research 080105 Expert Systems
Socio Economic Objective 810107 National Security
HERDC Research category C1 Refereed article in a scholarly journal
Persistent URL http://hdl.handle.net/10536/DRO/DU:30029157

Document type: Journal Article
Collection: School of Information Technology
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