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Conference Paper: Evaluation of evidence in internet auction fraud investigations

TitleEvaluation of evidence in internet auction fraud investigations
Authors
KeywordsBayesian network
Internet auction fraud
relevance of evidence
Issue Date2010
PublisherSpringer.
Citation
The 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?
Abstract
Internet 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.
Persistent Identifierhttp://hdl.handle.net/10722/125696
ISSN
2013 SCImago Journal Rankings: 0.186
References

 

DC FieldValueLanguage
dc.contributor.authorKwan, Men_HK
dc.contributor.authorOverill, Ren_HK
dc.contributor.authorChow, KPen_HK
dc.contributor.authorSilomon, Jen_HK
dc.contributor.authorTse, Hen_HK
dc.contributor.authorLaw, Fen_HK
dc.contributor.authorLai, Pen_HK
dc.date.accessioned2010-10-31T11:46:36Z-
dc.date.available2010-10-31T11:46:36Z-
dc.date.issued2010en_HK
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. 121-132en_HK
dc.identifier.issn1868-4238en_HK
dc.identifier.urihttp://hdl.handle.net/10722/125696-
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.en_HK
dc.languageengen_HK
dc.publisherSpringer.en_HK
dc.relation.ispartofIFIP Advances in Information and Communication Technologyen_HK
dc.rightsThe original publication is available at www.springerlink.com-
dc.subjectBayesian networken_HK
dc.subjectInternet auction frauden_HK
dc.subjectrelevance of evidenceen_HK
dc.titleEvaluation of evidence in internet auction fraud investigationsen_HK
dc.typeConference_Paperen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1868-4238&volume=337&spage=121&epage=132&date=2010&atitle=Evaluation+of+evidence+in+internet+auction+fraud+investigations-
dc.identifier.emailChow, KP:chow@cs.hku.hken_HK
dc.identifier.authorityChow, KP=rp00111en_HK
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1007/978-3-642-15506-2_9en_HK
dc.identifier.scopuseid_2-s2.0-78651105265en_HK
dc.identifier.hkuros182205en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-78651105265&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume337 AICTen_HK
dc.identifier.spage121en_HK
dc.identifier.epage132en_HK
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.scopusauthoridKwan, M=19640239200en_HK
dc.identifier.scopusauthoridOverill, R=6602223584en_HK
dc.identifier.scopusauthoridChow, KP=7202180751en_HK
dc.identifier.scopusauthoridSilomon, J=36053451700en_HK
dc.identifier.scopusauthoridTse, H=36844822700en_HK
dc.identifier.scopusauthoridLaw, F=19640490000en_HK
dc.identifier.scopusauthoridLai, P=19640260600en_HK

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