Show simple item record

dc.contributor.authorSharma, Aloken_US
dc.contributor.authorPaliwal, Kuldipen_US
dc.date.accessioned2017-05-03T13:01:10Z
dc.date.available2017-05-03T13:01:10Z
dc.date.issued2007en_US
dc.date.modified2009-09-21T05:48:37Z
dc.identifier.issn17729890en_US
dc.identifier.doi10.1007/s11416-007-0055-zen_AU
dc.identifier.urihttp://hdl.handle.net/10072/17415
dc.description.abstractMasquerade detection by automated means is gaining widespread interest due to the serious impact of masquerades on computer system or network. Several techniques have been introduced in an effort to minimize up to some extent the risk associated with masquerade attack. In this respect, we have developed a novel technique which comprises of Naﶥ Bayes approach and weighted radial basis function similarity approach. The proposed scheme exhibits very promising results in comparison with many earlier techniques while experimenting on SEA dataset in detecting masquerades.en_US
dc.description.peerreviewedYesen_US
dc.description.publicationstatusYesen_AU
dc.languageEnglishen_US
dc.language.isoen_AU
dc.publisherSpringeren_US
dc.publisher.placeFranceen_US
dc.publisher.urihttp://www.springer.com/computer/journal/11416en_AU
dc.relation.ispartofstudentpublicationNen_AU
dc.relation.ispartofpagefrom237en_US
dc.relation.ispartofpageto245en_US
dc.relation.ispartofjournalJournal in Computer Virologyen_US
dc.relation.ispartofvolume3en_US
dc.rights.retentionYen_AU
dc.subject.fieldofresearchcode280207en_US
dc.titleDetecting masquerades using a combination of Naive Bayes and weighted RBF approachen_US
dc.typeJournal articleen_US
dc.type.descriptionC1 - Peer Reviewed (HERDC)en_US
dc.type.codeC - Journal Articlesen_US
gro.facultyGriffith Sciences, Griffith School of Engineeringen_US
gro.date.issued2007
gro.hasfulltextNo Full Text


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

  • Journal articles
    Contains articles published by Griffith authors in scholarly journals.

Show simple item record