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Conference Paper: Evaluation of evidence in internet auction fraud investigations
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TitleEvaluation of evidence in internet auction fraud investigations
 
AuthorsKwan, M2
Overill, R1
Chow, KP2
Silomon, J1
Tse, H2
Law, F2
Lai, P2
 
KeywordsBayesian network
Internet auction fraud
relevance of evidence
 
Issue Date2010
 
PublisherSpringer.
 
CitationThe 6th IFIP WG 11.9 International Conference on Digital Forensics, Hong Kong, China, 4-6 January 2010. In IFIP Advances in Information and Communication Technology, 2010, v. 337, p. 121-132 [How to Cite?]
DOI: http://dx.doi.org/10.1007/978-3-642-15506-2_9
 
AbstractInternet auction fraud has become prevalent. Methodologies for detecting fraudulent transactions use historical information about Internet auction participants to decide whether or not a user is a potential fraudster. The information includes reputation scores, values of items, time frames of various activities and transaction records. This paper presents a distinctive set of fraudster characteristics based on an analysis of 278 allegations about the sale of counterfeit goods at Internet auction sites. Also, it applies a Bayesian approach to analyze the relevance of evidence in Internet auction fraud cases. © 2010 International Federation for Information Processing.
 
ISSN1868-4238
2013 SCImago Journal Rankings: 0.186
 
DOIhttp://dx.doi.org/10.1007/978-3-642-15506-2_9
 
ReferencesReferences in Scopus
 
DC FieldValue
dc.contributor.authorKwan, M
 
dc.contributor.authorOverill, R
 
dc.contributor.authorChow, KP
 
dc.contributor.authorSilomon, J
 
dc.contributor.authorTse, H
 
dc.contributor.authorLaw, F
 
dc.contributor.authorLai, P
 
dc.date.accessioned2010-10-31T11:46:36Z
 
dc.date.available2010-10-31T11:46:36Z
 
dc.date.issued2010
 
dc.description.abstractInternet auction fraud has become prevalent. Methodologies for detecting fraudulent transactions use historical information about Internet auction participants to decide whether or not a user is a potential fraudster. The information includes reputation scores, values of items, time frames of various activities and transaction records. This paper presents a distinctive set of fraudster characteristics based on an analysis of 278 allegations about the sale of counterfeit goods at Internet auction sites. Also, it applies a Bayesian approach to analyze the relevance of evidence in Internet auction fraud cases. © 2010 International Federation for Information Processing.
 
dc.description.natureLink_to_subscribed_fulltext
 
dc.description.otherThe 6th IFIP WG 11.9 International Conference on Digital Forensics, Hong Kong, China, 4-6 January 2010. In IFIP Advances in Information and Communication Technology, 2010, v. 337, p. 121-132
 
dc.identifier.citationThe 6th IFIP WG 11.9 International Conference on Digital Forensics, Hong Kong, China, 4-6 January 2010. In IFIP Advances in Information and Communication Technology, 2010, v. 337, p. 121-132 [How to Cite?]
DOI: http://dx.doi.org/10.1007/978-3-642-15506-2_9
 
dc.identifier.doihttp://dx.doi.org/10.1007/978-3-642-15506-2_9
 
dc.identifier.epage132
 
dc.identifier.hkuros182205
 
dc.identifier.issn1868-4238
2013 SCImago Journal Rankings: 0.186
 
dc.identifier.openurl
 
dc.identifier.scopuseid_2-s2.0-78651105265
 
dc.identifier.spage121
 
dc.identifier.urihttp://hdl.handle.net/10722/125696
 
dc.identifier.volume337 AICT
 
dc.languageeng
 
dc.publisherSpringer.
 
dc.relation.ispartofIFIP Advances in Information and Communication Technology
 
dc.relation.referencesReferences in Scopus
 
dc.rightsThe original publication is available at www.springerlink.com
 
dc.subjectBayesian network
 
dc.subjectInternet auction fraud
 
dc.subjectrelevance of evidence
 
dc.titleEvaluation of evidence in internet auction fraud investigations
 
dc.typeConference_Paper
 
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Author Affiliations
  1. King's College London
  2. The University of Hong Kong