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
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;
Conference_Titel :
E-Business and E-Government (ICEE), 2010 International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-0-7695-3997-3
DOI :
10.1109/ICEE.2010.68
