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dc.contributor.authorIslam, Md.
dc.contributor.authorSingh, Jaipal
dc.contributor.authorChonka, A.
dc.contributor.authorZhou, W.
dc.contributor.editorJian Cao, Minglu Li, Chuliang Weng, Yang Xiang, Xin Wang, Hong Tang, Feng Hong, Hong Liu, Yinglin Wang
dc.date.accessioned2017-01-30T13:04:50Z
dc.date.available2017-01-30T13:04:50Z
dc.date.created2009-02-25T18:01:59Z
dc.date.issued2008
dc.identifier.citationIslam, Md. and Singh, Jaipal and Chonka, Ashley and Zhou, Wanlei. 2008. Multi-classifier classification of spam email on a ubiquitous multi-core architecture, in Cao, J. and Li, M. and Weng, Ch. and Xiang, Y. and Wang, X. and Tang, H. and Hong, F. and Liu, H. and Wang, Y. (ed), IFIP International Conference on Network and Parallel Computing (NPC) Workshops, Oct 18 2008, pp. 210-217. Shanghai, China: Institute of Electrical and Electronics Engineers (IEEE) Computer Society
dc.identifier.urihttp://hdl.handle.net/20.500.11937/28402
dc.identifier.doi10.1109/NPC.2008.71
dc.description.abstract

This paper presents an innovative fusion based multi-classifier email classification on a ubiquitous multi-core architecture. Many approaches use text-based single classifiers or multiple weakly trained classifiers to identify spam messages from a large email corpus. We build upon our previous work on multi-core by apply our ubiquitous multi-core framework to run our fusion based multi-classifier architecture. By running each classifier process in parallel within their dedicated core, we greatly improve the performance of our proposed multi-classifier based filtering system. Our proposed architecture also provides a safeguard of user mailbox from different malicious attacks. Our experimental results show that we achieved an average of 30% speedup at the average cost of 1.4ms. We also reduced the instance of false positive, which is one of the key challenges in spam filtering system, and increases email classification accuracy substantially compared with single classification techniques.

dc.publisherInstitute of Electrical and Electronics Engineers (IEEE) Computer Society
dc.subjectMultiple Classifiers
dc.subjectSpam Filters
dc.subjectText Classifier
dc.subjectMulti-core
dc.titleMulti-classifier classification of spam email on a ubiquitous multi-core architecture
dc.typeConference Paper
dcterms.source.startPage210
dcterms.source.endPage217
dcterms.source.titleProceedings of the IFIP international conference on network and parallel computing (NPC) workshops
dcterms.source.seriesProceedings of the IFIP international conference on network and parallel computing (NPC) workshops
dcterms.source.isbn9780769533544
dcterms.source.conferenceIFIP International Conference on Network and Parallel Computing (NPC) Workshops
dcterms.source.conference-start-date18 Oct 2008
dcterms.source.conferencelocationShanghai, China
dcterms.source.placeChina
curtin.note

Copyright © 2008 IEEE. This material is presented to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted without the explicit permission of the copyright holder.

curtin.departmentCentre for Extended Enterprises and Business Intelligence
curtin.accessStatusOpen access
curtin.facultyCurtin Business School
curtin.facultySchool of Information Systems


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