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dc.contributor.convenorTheodor Wyeld
dc.contributor.authorHuang, Mao Lin
dc.contributor.authorZhang, Jinson
dc.contributor.authorQuang, Vinh Nguyen
dc.contributor.authorWang, Junhu
dc.contributor.editorBanissi, E
dc.contributor.editorBertschi, S
dc.contributor.editorBurkhard, R
dc.contributor.editorCvek, U
dc.contributor.editorEppler, M
dc.contributor.editorForsell, C
dc.contributor.editorGrinstein, G
dc.contributor.editorJohansson, J
dc.contributor.editorKenderdine, S
dc.contributor.editorMarchese, FT
dc.contributor.editorMaple, C
dc.contributor.editorTrutschl, M
dc.contributor.editorSarfraz, M
dc.contributor.editorStuart, L
dc.contributor.editorUrsyn, A
dc.contributor.editorWyeld, TG
dc.date.accessioned2017-05-03T14:22:33Z
dc.date.available2017-05-03T14:22:33Z
dc.date.issued2011
dc.date.modified2012-04-17T22:22:17Z
dc.identifier.isbn9780769544762
dc.identifier.issn1550-6037
dc.identifier.refurihttp://www.graphicslink.co.uk/IV2011/
dc.identifier.doi10.1109/IV.2011.41
dc.identifier.urihttp://hdl.handle.net/10072/44514
dc.description.abstractNetworking attacks embedded in spam emails are increasingly becoming numerous and sophisticated in nature. Hence this has given a growing need for spam email analysis to identify these attacks. The use of these intrusion detection systems has given rise to other two issues, 1) the presentation and understanding of large amounts of spam emails, 2) the user-assisted input and quantified adjustment during the analysis process. In this paper we introduce a new analytical model that uses two coefficient vectors: 'density' and 'weight'for the analysis of spam email viruses and attacks. We then use a visual clustering method to classify and display the spam emails. The visualization allows users to interactively select and scale down the scope of views for better understanding of different types of the spam email attacks. The experiment shows that this new model with the clustering visualization can be effectively used for network security analysis.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.publisherIEEE
dc.publisher.placeUnited States
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofconferencename15th International Conference on Information Visualisation (IV)
dc.relation.ispartofconferencetitle15TH INTERNATIONAL CONFERENCE ON INFORMATION VISUALISATION (IV 2011)
dc.relation.ispartofdatefrom2011-07-13
dc.relation.ispartofdateto2011-07-15
dc.relation.ispartoflocationLondon, ENGLAND
dc.relation.ispartofpagefrom65
dc.relation.ispartofpageto72
dc.rights.retentionY
dc.subject.fieldofresearchDatabase systems
dc.subject.fieldofresearchcode460505
dc.titleVisual clustering of spam emails for DDoS analysis
dc.typeConference output
dc.type.descriptionE1 - Conferences
dc.type.codeE - Conference Publications
gro.date.issued2011
gro.hasfulltextNo Full Text
gro.griffith.authorWang, John


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    Contains papers delivered by Griffith authors at national and international conferences.

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