A genetic programming approach for fraud detection in electronic transactions

Created by W.Langdon from gp-bibliography.bib Revision:1.8129

@InProceedings{Assis:2014:CICS,

• author = "Carlos A. S. Assis and Adriano C. M. Pereira and Marconi A. Pereira and Eduardo G. Carrano",
• booktitle = "IEEE Symposium on Computational Intelligence in Cyber Security (CICS 2014)",
• title = "A genetic programming approach for fraud detection in electronic transactions",
• year = "2014",
• month = dec,
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/CICYBS.2014.7013373",
• size = "9 pages",
• abstract = "The volume of on line transactions has increased considerably in the recent years. Consequently, the number of fraud cases has also increased, causing billion dollar losses each year worldwide. Therefore, it is mandatory to employ mechanisms that are able to assist in fraud detection. In this work, it is proposed the use of Genetic Programming (GP) to identify frauds (charge back) in electronic transactions, more specifically in online credit card operations. A case study, using a real dataset from one of the largest Latin America electronic payment systems, has been conducted in order to evaluate the proposed algorithm. The presented algorithm achieves good performance in fraud detection, obtaining gains up to 17percent with regard to the actual company baseline. Moreover, several classification problems, with considerably different datasets and domains, have been used to evaluate the performance of the algorithm. The effectiveness of the algorithm has been compared with other methods, widely employed for classification. The results show that the proposed algorithm achieved good classification effectiveness in all tested instances.",
• notes = "Centro Fed. de Educ., Tecnol. de Minas Gerais, Belo Horizonte, Brazil Also known as \cite{7013373}",

}

Genetic Programming entries for Carlos A S de Assis Adriano C Machado Pereira Marconi de Arruda Pereira Eduardo Gontijo Carrano

Citations