A pattern based anti-fraud method in C2C ecommerce environment

Fusheng Jin*, Zhendong Niu, Haiyang Lang

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Although reputation models are available to encourage good services of sellers as well as punish their bad ones in the C2C ecommerce environment, their anti-fraud ability appears to be weak in general. Based on our TRUST model and the method of combing fraud pattern recognition with Time Window, we propose a Fraud Identification Method which has certain antifraud capabilities. Simulation experiments show that the introduction of TRUST model of the method in this paper has more advantages.

Original languageEnglish
Title of host publicationProceedings of the International Conference on E-Business and E-Government, ICEE 2010
Pages242-244
Number of pages3
DOIs
Publication statusPublished - 2010
Event1st International Conference on E-Business and E-Government, ICEE 2010 - Guangzhou, China
Duration: 7 May 20109 May 2010

Publication series

NameProceedings of the International Conference on E-Business and E-Government, ICEE 2010

Conference

Conference1st International Conference on E-Business and E-Government, ICEE 2010
Country/TerritoryChina
CityGuangzhou
Period7/05/109/05/10

Keywords

  • Ecommerce
  • Fraud pattern
  • Reputation
  • TRUST

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