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dc.contributor.authorCordeiro De Amorim, Renato
dc.contributor.authorKomisarczuk, Peter
dc.date.accessioned2016-03-16T10:20:34Z
dc.date.available2016-03-16T10:20:34Z
dc.date.issued2012-07
dc.identifier.citationCordeiro De Amorim , R & Komisarczuk , P 2012 , ' On Partitional Clustering of Malware ' , Paper presented at 1st Int Workshop on Cyberpatterns: Unifying Design Patterns with Security, Attack and Forensic Patterns , Abingdon , United Kingdom , 9/07/12 - 10/07/12 pp. 47-51 .
dc.identifier.citationworkshop
dc.identifier.urihttp://hdl.handle.net/2299/16819
dc.description.abstractIn this paper we fully describe a novel clustering method for malware, from the transformation of data into a manipulable standardised data matrix, finding the number of clusters until the clustering itself including visualisation of the high-dimensional data. Our clustering method deals well with categorical data and clusters the behavioural data of 17,000 websites, acquired with Capture-HPC, in less than 2 minutesen
dc.format.extent195552
dc.language.isoeng
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dc.titleOn Partitional Clustering of Malwareen
dc.contributor.institutionSchool of Computer Science
dc.description.statusPeer reviewed
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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