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 language | English |
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| Title of host publication | Proceedings of the International Conference on E-Business and E-Government, ICEE 2010 |
| Pages | 242-244 |
| Number of pages | 3 |
| DOIs | |
| Publication status | Published - 2010 |
| Event | 1st International Conference on E-Business and E-Government, ICEE 2010 - Guangzhou, China Duration: 7 May 2010 → 9 May 2010 |
Publication series
| Name | Proceedings of the International Conference on E-Business and E-Government, ICEE 2010 |
|---|
Conference
| Conference | 1st International Conference on E-Business and E-Government, ICEE 2010 |
|---|---|
| Country/Territory | China |
| City | Guangzhou |
| Period | 7/05/10 → 9/05/10 |
Keywords
- Ecommerce
- Fraud pattern
- Reputation
- TRUST
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Jin, F., Niu, Z., & Lang, H. (2010). A pattern based anti-fraud method in C2C ecommerce environment. In Proceedings of the International Conference on E-Business and E-Government, ICEE 2010 (pp. 242-244). Article 5590833 (Proceedings of the International Conference on E-Business and E-Government, ICEE 2010). https://doi.org/10.1109/ICEE.2010.68