Detecting False Identity through Behavioural Patterns


Show simple item record Shen, Qiang Boongoen, Tossapon 2008-08-05T09:32:24Z 2008-08-05T09:32:24Z 2008-07-17
dc.identifier.citation Shen , Q & Boongoen , T 2008 , ' Detecting False Identity through Behavioural Patterns ' . en
dc.identifier.other PURE: 77144
dc.identifier.other dspace: 2160/614
dc.description T. Boongoen and Q. Shen. 'Detecting False Identity through Behavioural Patterns', In Proceedings of International Crime Science Conference, British Library, London UK, 2008. Publisher's online version forthcoming.;The full text is currently unavailable in CADAIR pending approval by the publisher. Sponsorship: UK EPSRC grant EP/D057086 en
dc.description.abstract Combating identity fraud is prominent and urgent since false identity has become the common denominator of all serious crime. Typical approaches to detecting false identity rely on the similarity measure of text-based identity attributes, which are usually not applicable to falsely-defined and unknown identities. This paper presents a novel link-based approach that can efficiently overcome such barrier. Its experimental evaluation against well-known link-oriented and text-based methods significantly indicates the great potential towards an effective verification system. en
dc.language.iso eng
dc.title Detecting False Identity through Behavioural Patterns en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Department of Computer Science en
dc.contributor.institution Advanced Reasoning Group en
dc.description.status Non peer reviewed en

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