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dc.contributor.convenorTheodor Wyelden_US
dc.contributor.authorHuang, Maolinen_US
dc.contributor.authorZhang, Jinsonen_US
dc.contributor.authorNguyen, Quang Vinhen_US
dc.contributor.authorWang, Junhuen_US
dc.contributor.editorEbad Banissi et alen_US
dc.date.accessioned2017-05-03T14:22:33Z
dc.date.available2017-05-03T14:22:33Z
dc.date.issued2011en_US
dc.date.modified2012-04-17T22:22:17Z
dc.identifier.refurihttp://www.graphicslink.co.uk/IV2011/en_US
dc.identifier.doi10.1109/IV.2011.41en_US
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.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_US
dc.languageEnglishen_US
dc.publisherIEEEen_US
dc.publisher.placeUnited Statesen_US
dc.relation.ispartofstudentpublicationNen_US
dc.relation.ispartofconferencename15th International Conference on Information Visualisation (IV 2011)en_US
dc.relation.ispartofconferencetitleProceedings of the 15th International Conference on Information Visualisationen_US
dc.relation.ispartofdatefrom2011-07-13en_US
dc.relation.ispartofdateto2011-07-15en_US
dc.relation.ispartoflocationLondon, United Kingdomen_US
dc.rights.retentionYen_US
dc.subject.fieldofresearchDatabase Managementen_US
dc.subject.fieldofresearchcode080604en_US
dc.titleVisual clustering of spam emails for DDoS analysisen_US
dc.typeConference outputen_US
dc.type.descriptionE1 - Conference Publications (HERDC)en_US
dc.type.codeE - Conference Publicationsen_US
gro.date.issued2011
gro.hasfulltextNo Full Text


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

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