C2C电子商务环境下基于模式的反欺诈方法

2010 International Conference on E-Business and E-Government Pub Date : 2010-05-07 DOI:10.1109/ICEE.2010.68

Fusheng Jin, Zhendong Niu, Haiyang Lang

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引用次数: 2

摘要

尽管在C2C电子商务环境中，声誉模型可以鼓励卖家提供良好的服务，也可以惩罚卖家的不良服务，但它们的反欺诈能力总体上显得很弱。基于我们的TRUST模型，将欺诈模式识别与时间窗相结合，提出了一种具有一定反欺诈能力的欺诈识别方法。仿真实验表明，本文引入的TRUST模型的方法具有更多的优点。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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 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.

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2010 International Conference on E-Business and E-Government

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