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Risk analysis of electronic transactions in tourism web applications

Published: 05 November 2013 Publication History

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.

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Published In

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WebMedia '13: Proceedings of the 19th Brazilian symposium on Multimedia and the web
November 2013
360 pages
ISBN:9781450325592
DOI:10.1145/2526188
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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  • SBC: Brazilian Computer Society

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 November 2013

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Author Tags

  1. e-payment
  2. fraud
  3. risk analysis
  4. tourism site
  5. web transactions

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  • Research-article

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WebMedia '13
Sponsor:
  • SBC

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WebMedia '13 Paper Acceptance Rate 29 of 87 submissions, 33%;
Overall Acceptance Rate 270 of 873 submissions, 31%

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