Ruhan Bidart, L. M. Silveira, A. Pereira, Adriano Veloso
{"title":"旅游网络应用中电子交易的风险分析","authors":"Ruhan Bidart, L. M. Silveira, A. Pereira, Adriano Veloso","doi":"10.1145/2526188.2526225","DOIUrl":null,"url":null,"abstract":"Recently it has been observed a world wide increase of online sales, mainly due to agility to buy and attractive prices that are offered on the Web. However, fraud has also been increased on the same rate or more. In order to address this problem it is very important to understand the characteristics of fraudsters and their typical behavior. On the tourism e-market it is not different, thus millions of frauds occur each year. In this work we analyze a representative amount (thousands) of online transactions of a tourism Web system. We try to understand the characteristics of fraudsters with the main goal to support decision of e-payment evaluation of transactions. Our results are promising, achieving up to 64% of increase in accuracy in comparison to the baseline.","PeriodicalId":114454,"journal":{"name":"Brazilian Symposium on Multimedia and the Web","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-11-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Risk analysis of electronic transactions in tourism web applications\",\"authors\":\"Ruhan Bidart, L. M. Silveira, A. Pereira, Adriano Veloso\",\"doi\":\"10.1145/2526188.2526225\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Recently it has been observed a world wide increase of online sales, mainly due to agility to buy and attractive prices that are offered on the Web. However, fraud has also been increased on the same rate or more. In order to address this problem it is very important to understand the characteristics of fraudsters and their typical behavior. On the tourism e-market it is not different, thus millions of frauds occur each year. In this work we analyze a representative amount (thousands) of online transactions of a tourism Web system. We try to understand the characteristics of fraudsters with the main goal to support decision of e-payment evaluation of transactions. Our results are promising, achieving up to 64% of increase in accuracy in comparison to the baseline.\",\"PeriodicalId\":114454,\"journal\":{\"name\":\"Brazilian Symposium on Multimedia and the Web\",\"volume\":\"50 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-11-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Brazilian Symposium on Multimedia and the Web\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2526188.2526225\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Brazilian Symposium on Multimedia and the Web","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2526188.2526225","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Risk analysis of electronic transactions in tourism web applications
Recently it has been observed a world wide increase of online sales, mainly due to agility to buy and attractive prices that are offered on the Web. However, fraud has also been increased on the same rate or more. In order to address this problem it is very important to understand the characteristics of fraudsters and their typical behavior. On the tourism e-market it is not different, thus millions of frauds occur each year. In this work we analyze a representative amount (thousands) of online transactions of a tourism Web system. We try to understand the characteristics of fraudsters with the main goal to support decision of e-payment evaluation of transactions. Our results are promising, achieving up to 64% of increase in accuracy in comparison to the baseline.