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A multi-tier ensemble construction of classifiers for phishing email detection and filtering
conference contribution
posted on 2012-01-01, 00:00 authored by Jemal AbawajyJemal Abawajy, Andrei KelarevThis paper is devoted to multi-tier ensemble classifiers for the detection and filtering of phishing emails. We introduce a new construction of ensemble classifiers, based on the well known and productive multi-tier approach. Our experiments evaluate their performance for the detection and filtering of phishing emails. The multi-tier constructions are well known and have been used to design effective classifiers for email classification and other applications previously. We investigate new multi-tier ensemble classifiers, where diverse ensemble methods are combined in a unified system by incorporating different ensembles at a lower tier as an integral part of another ensemble at the top tier. Our novel contribution is to investigate the possibility and effectiveness of combining diverse ensemble methods into one large multi-tier ensemble for the example of detection and filtering of phishing emails. Our study handled a few essential ensemble methods and more recent approaches incorporated into a combined multi-tier ensemble classifier. The results show that new large multi-tier ensemble classifiers achieved better performance compared with the outcomes of the base classifiers and ensemble classifiers incorporated in the multi-tier system. This demonstrates that the new method of combining diverse ensembles into one unified multi-tier ensemble can be applied to increase the performance of classifiers if diverse ensembles are incorporated in the system.
History
Event
Cyberspace Safety and Security. Symposium (4th : 2012 : Melbourne, Victoria)Source
Cyberspace safety and security : 4th International Symposium, CSS 2012 Melbourne, Australia, December 12-13, 2012 ProceedingsSeries
Lecture notes in computer science; v.7672Pagination
48 - 56Publisher
Springer-VerlagLocation
Melbourne, VictoriaPlace of publication
Berlin, GermanyPublisher DOI
Start date
2012-12-12End date
2012-12-13ISSN
0302-9743eISSN
0302-9743ISBN-13
9783642353628ISBN-10
3642353622Language
engPublication classification
E1 Full written paper - refereedCopyright notice
2012, SpringerExtent
37Editor/Contributor(s)
Y Xiang, J Lopez, C Kuo, W ZhouTitle of proceedings
CSS 2012 : Cyberspace safety and security : 4th International Symposium, Melbourne, Australia, December 12-13, 2012 ProceedingsUsage metrics
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