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Spam filtering using classification algorithms

Islam, M. Rafiqul. 2008, Spam filtering using classification algorithms, Ph.D. thesis, School of Engineering and Information Technology, Deakin University.


Title Spam filtering using classification algorithms
Author Islam, M. Rafiqul.
Institution Deakin University
School School of Engineering and Information Technology
Faculty Faculty of Science and Technology
Degree name Ph.D.
Date submitted 2008
Keyword(s) Spam filtering (Electronic mail)
Spam (Electronic mail) - Prevention
Electronic mail systems - Standards
Internet - Security measures
Summary This thesis proposes an innovative adaptive multi-classifier spam filtering model, with a grey-list analyser and a dynamic feature selection method, to overcome false-positive problems in email classification. It also presents additional techniques to minimize the added complexity. Empirical evidence indicates the success of this model over existing approaches.
Language eng
Description of original xxi, 195 leaves ; 30 cm.
Dewey Decimal Classification 004.692
Persistent URL http://hdl.handle.net/10536/DRO/DU:30027316

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Created: Thu, 01 Apr 2010, 15:57:06 EST

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