A Pattern Based Anti-Fraud Method in C2C Ecommerce Environment

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...

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Bibliographic Details
Main Authors: Fusheng Jin, Zhendong Niu, Haiyang Lang
Format: Conference Proceeding
Language:English
Subjects:
Biological system modeling
Computational modeling
ecommerce
Electronic commerce
Filtering
Fires
fraud pattern
Manuals
Pattern recognition
reputation
TRUST
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Summary: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.
DOI:10.1109/ICEE.2010.68