research-article

Fraud detection in web transactions

Authors:

Rafael Alexandre França Lima,

Adriano Cesar Machado PereiraAuthors Info & Claims

WebMedia '12: Proceedings of the 18th Brazilian symposium on Multimedia and the web

Pages 273 - 280

https://doi.org/10.1145/2382636.2382695

Published: 15 October 2012 Publication History

Abstract

The volume of electronic transactions has raised a lot in last years, mainly due to the popularization of e-commerce. We also observe a significant increase in the number of fraud cases, resulting in billions of dollars losses each year worldwide. Therefore it is important and necessary to develop and apply techniques that can assist in fraud detection, which motivates our research. This work aims to apply and evaluate computational intelligence techniques to identify fraud in electronic transactions, more specifically in credit card operations, using Bayesian Networks and Logistic Regression. In order to evaluate the techniques, we define a concept of economic efficiency and apply them in an actual dataset of the most popular Brazilian electronic payment service. Our results show good performance in fraud detection, presenting gains up to 35.61% compared to the actual scenario of the company.

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Cited By

Lima RPereira A(2017)Feature Selection Approaches to Fraud Detection in e-Payment SystemsE-Commerce and Web Technologies10.1007/978-3-319-53676-7_9(111-126)Online publication date: 15-Feb-2017
https://doi.org/10.1007/978-3-319-53676-7_9
Lima RPereira A(2015)A Fraud Detection Model Based on Feature Selection and Undersampling Applied to Web Payment Systems2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)10.1109/WI-IAT.2015.13(219-222)Online publication date: Dec-2015
https://doi.org/10.1109/WI-IAT.2015.13
Assis CPereira APereira MCarrano E(2014)A genetic programming approach for fraud detection in electronic transactions2014 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)10.1109/CICYBS.2014.7013373(1-8)Online publication date: Dec-2014
https://doi.org/10.1109/CICYBS.2014.7013373
Show More Cited By

Index Terms

Fraud detection in web transactions
1. Applied computing
  1. Electronic commerce

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Published In

cover image ACM Other conferences

WebMedia '12: Proceedings of the 18th Brazilian symposium on Multimedia and the web

October 2012

426 pages

ISBN:9781450317061

DOI:10.1145/2382636

General Chairs:
Graça Bressan
University of São Paulo, Brazil
,
Regina Melo Silveira
University of São Paulo, Brazil
,
Program Chairs:
Ethan V. Munson
University of Wisconsin-Milwaukee, USA
,
André Santanchà
State University of Campinas, Brazil
,
Maria da Graèa Campos Pimentel
University of São Paulo, Brazil

Copyright © 2012 ACM.

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 ACM 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: 15 October 2012

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WebMedia '12

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SBC

WebMedia '12: Brazilian Symposium on Multimedia and the Web

October 15 - 18, 2012

São Paulo/SP, Brazil

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Overall Acceptance Rate 270 of 873 submissions, 31%

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Cited By

Lima RPereira A(2017)Feature Selection Approaches to Fraud Detection in e-Payment SystemsE-Commerce and Web Technologies10.1007/978-3-319-53676-7_9(111-126)Online publication date: 15-Feb-2017
https://doi.org/10.1007/978-3-319-53676-7_9
Lima RPereira A(2015)A Fraud Detection Model Based on Feature Selection and Undersampling Applied to Web Payment Systems2015 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT)10.1109/WI-IAT.2015.13(219-222)Online publication date: Dec-2015
https://doi.org/10.1109/WI-IAT.2015.13
Assis CPereira APereira MCarrano E(2014)A genetic programming approach for fraud detection in electronic transactions2014 IEEE Symposium on Computational Intelligence in Cyber Security (CICS)10.1109/CICYBS.2014.7013373(1-8)Online publication date: Dec-2014
https://doi.org/10.1109/CICYBS.2014.7013373
Assis CPereira APereira MCarrano EPrazeres CSampaio PSantanchè ASantos CGoularte R(2013)Using genetic programming to detect fraud in electronic transactionsProceedings of the 19th Brazilian symposium on Multimedia and the web10.1145/2526188.2526221(337-340)Online publication date: 5-Nov-2013
https://dl.acm.org/doi/10.1145/2526188.2526221
Mesquita CCavalca UPereira ACarrano EPrazeres CSampaio PSantanchè ASantos CGoularte R(2013)A traffic shaping optimization methodology for web systemsProceedings of the 19th Brazilian symposium on Multimedia and the web10.1145/2526188.2526190(209-216)Online publication date: 5-Nov-2013
https://dl.acm.org/doi/10.1145/2526188.2526190

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