%0 Conference Proceedings
%T Evaluation of Evidence in Internet Auction Fraud Investigations
%+ The University of Hong Kong (HKU)
%+ King‘s College London
%A Kwan, Michael
%A Overill, Richard
%A Chow, Kam-Pui
%A Silomon, Jantje
%A Tse, Hayson
%A Law, Frank
%A Lai, Pierre
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 6th IFIP WG 11.9 International Conference on Digital Forensics (DF)
%C Hong Kong, China
%Y Kam-Pui Chow; Sujeet Shenoi
%I Springer
%3 Advances in Digital Forensics VI
%V AICT-337
%P 121-132
%8 2010-01-04
%D 2010
%R 10.1007/978-3-642-15506-2_9
%K Internet auction fraud
%K Bayesian network
%K relevance of evidence
%Z Computer Science [cs]/Digital Libraries [cs.DL]Conference papers
%X 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.
%G English
%2 https://inria.hal.science/hal-01060616/document
%2 https://inria.hal.science/hal-01060616/file/KwanOCSTLL10.pdf
%L hal-01060616
%U https://inria.hal.science/hal-01060616
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-AICT
%~ IFIP-AICT-337
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC11
%~ IFIP-DF
%~ IFIP-WG11-9