{"title":"C2C电子商务环境下基于模式的反欺诈方法","authors":"Fusheng Jin, Zhendong Niu, Haiyang Lang","doi":"10.1109/ICEE.2010.68","DOIUrl":null,"url":null,"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.","PeriodicalId":420284,"journal":{"name":"2010 International Conference on E-Business and E-Government","volume":"72 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A Pattern Based Anti-Fraud Method in C2C Ecommerce Environment\",\"authors\":\"Fusheng Jin, Zhendong Niu, Haiyang Lang\",\"doi\":\"10.1109/ICEE.2010.68\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":420284,\"journal\":{\"name\":\"2010 International Conference on E-Business and E-Government\",\"volume\":\"72 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-05-07\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 International Conference on E-Business and E-Government\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICEE.2010.68\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 International Conference on E-Business and E-Government","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICEE.2010.68","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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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