DocumentCode
2400041
Title
A Pattern Based Anti-Fraud Method in C2C Ecommerce Environment
Author
Jin, Fusheng ; Niu, Zhendong ; Lang, Haiyang
Author_Institution
Sch. of Software, Beijing Inst. of Technol., Beijing, China
fYear
2010
fDate
7-9 May 2010
Firstpage
242
Lastpage
244
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 anti-fraud capabilities. Simulation experiments show that the introduction of TRUST model of the method in this paper has more advantages.
Keywords
electronic commerce; security of data; C2C ecommerce environment; TRUST model; fraud identification method; fraud pattern recognition; pattern based anti-fraud method; reputation models; time window; Biological system modeling; Computational modeling; Electronic commerce; Filtering; Fires; Manuals; Pattern recognition; TRUST; ecommerce; fraud pattern; reputation;
fLanguage
English
Publisher
ieee
Conference_Titel
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location
Guangzhou
Print_ISBN
978-0-7695-3997-3
Type
conf
DOI
10.1109/ICEE.2010.68
Filename
5590833
Link To Document