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Detection of mobile phone fraud using supervised neural networks: A first prototype

  • Part VII: Prediction, Forecasting, and Monitoring
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Artificial Neural Networks — ICANN'97 (ICANN 1997)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1327))

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Abstract

We present the first prototype of a tool based on a supervised neural network for the detection of fraud in mobile communications. This prototype is being developed in the framework of a project of the European Commission on Advanced Security for Personal Communications (ASPeCT), together with two other prototypes, based on unsupervised neural networks and knowledge-based systems.

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References

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Authors and Affiliations

  1. Elektrotechniek - ESAT, Katholieke Universiteit Leuven, Kardinaal Mercierlaan 94, B-3001, Leuven, Belgium

    Yves Moreau, Herman Verrelst & Joos Vandewalle

Authors
  1. Yves Moreau
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  2. Herman Verrelst
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  3. Joos Vandewalle
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Editor information

Wulfram Gerstner Alain Germond Martin Hasler Jean-Daniel Nicoud

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© 1997 Springer-Verlag Berlin Heidelberg

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Moreau, Y., Verrelst, H., Vandewalle, J. (1997). Detection of mobile phone fraud using supervised neural networks: A first prototype. In: Gerstner, W., Germond, A., Hasler, M., Nicoud, JD. (eds) Artificial Neural Networks — ICANN'97. ICANN 1997. Lecture Notes in Computer Science, vol 1327. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0020294

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  • DOI: https://doi.org/10.1007/BFb0020294

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-63631-1

  • Online ISBN: 978-3-540-69620-9

  • eBook Packages: Springer Book Archive

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