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Bank Fraud Detection with Graph Neural Networks

Bank Fraud Detection with Graph Neural Networks —This study proposes a method for detecting bank fraud based on graph neural networks. Financial transactions are represented in the form of a graph and analyzed with a graph neural network with the goal of detecting transactions typical of fraud schemes. The results of experimental tests indicate the high potential of the proposed approach. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Automatic Control and Computer Sciences Springer Journals

Bank Fraud Detection with Graph Neural Networks

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Publisher
Springer Journals
Copyright
Copyright © Allerton Press, Inc. 2022. ISSN 0146-4116, Automatic Control and Computer Sciences, 2022, Vol. 56, No. 8, pp. 865–873. © Allerton Press, Inc., 2022. Russian Text © The Author(s), 2022, published in Problemy Informatsionnoi Bezopasnosti, Komp’yuternye Sistemy.
ISSN
0146-4116
eISSN
1558-108X
DOI
10.3103/s0146411622080223
Publisher site
See Article on Publisher Site

Abstract

—This study proposes a method for detecting bank fraud based on graph neural networks. Financial transactions are represented in the form of a graph and analyzed with a graph neural network with the goal of detecting transactions typical of fraud schemes. The results of experimental tests indicate the high potential of the proposed approach.

Journal

Automatic Control and Computer Sciences – Springer Journals

Published: Dec 1, 2022

Keywords: graph neural networks; bank fraud; anomaly detection; convolutional neural networks; information security; financial data analysis

References

  • The graph neural network model
    Scarselli, F.; Gori, M.; Tsoi, A.Ch.; Hagenbuchner, M.; Monfardini, G.
  • Graph neural networks: A review of methods and applications
    Zhou, J.; Cui, G.; Hu, Sh.; Zhang, Zh.; Yang, Ch.; Liu, Zh.; Wang, L.; Li, Ch.; Sun, M.
  • Combining unsupervised and supervised learning in credit card fraud detection
    Carcillo, F.; Le Borgne, Ya.-A.; Caelen, O.; Kessaci, Ya.; Oblé, F.; Bontempi, G.
  • A novel idea for credit card fraud detection using decision tree
    Save, P.; Tiwarekar, P.; Jain, K.N.; Mahyavanshi, N.
  • Ensuring cyber resilience of large-scale network infrastructure using the ant algorithm
    Pavlenko, E.Yu.; Kudinov, K.V.
  • Application of neuro-fuzzy inference for network scanning detection
    Kalinin, M.O.