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
2011 SCImago Journal Rankings: 0.028
DOIhttp://dx.doi.org/10.1007/978-3-642-15506-2_9
ReferencesReferences in Scopus
DC Field
Value
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
2011 SCImago Journal Rankings: 0.028
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
Author Affiliations
  1. King's College London
  2. The University of Hong Kong