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Synthetic Logs Generator for Fraud Detection in Mobile Transfer Services

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Financial Cryptography and Data Security (FC 2013)

Part of the book series: Lecture Notes in Computer Science ((LNSC,volume 7859))

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Abstract

This article presents a simulator which generates synthetic data for fraud detection. It models fraudsters and legitimate users.

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References

  1. Bolton, R.J., Hand, D.J.: Unsupervised profiling methods for fraud detection. In: Conference on Credit Scoring and Credit Control (2001)

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  2. Achemlal, M., Gharout, S., Gaber, C., Llanes, M., Prieto, E., Diaz, R., Coppolino, L., Sergio, A., Cristaldi, R., Hutchison, A., Dennie, K.: Scenario requirements (March 2011), http://www.massif-project.eu/

  3. Barse, E.L., Kvarnstrom, H., Jonsson, E.: Synthesizing test data for fraud detection systems. In: Proceedings of the 19th Annual Computer Security Applications Conference (2003)

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© 2013 Springer-Verlag Berlin Heidelberg

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Gaber, C., Hemery, B., Achemlal, M., Pasquet, M., Urien, P. (2013). Synthetic Logs Generator for Fraud Detection in Mobile Transfer Services. In: Sadeghi, AR. (eds) Financial Cryptography and Data Security. FC 2013. Lecture Notes in Computer Science, vol 7859. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39884-1_35

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  • DOI: https://doi.org/10.1007/978-3-642-39884-1_35

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39883-4

  • Online ISBN: 978-3-642-39884-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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