GDFGAT: Graph attention network based on feature difference weight assignment for telecom fraud detection
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DOI: 10.1371/journal.pone.0322004
Abstract: In recent years, the number of telecom frauds has increased significantly, causing substantial losses to people’s daily lives. With technological advancements, telecom fraud methods have also become more sophisticated, making fraudsters harder to detect as… read more here.
Keywords: graph attention; gdfgat; telecom fraud; telecom ... See more keywords
A Framework for Analyzing Fraud Risk Warning and Interference Effects by Fusing Multivariate Heterogeneous Data: A Bayesian Belief Network
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DOI: 10.3390/e25060892
Abstract: In the construction of a telecom-fraud risk warning and intervention-effect prediction model, how to apply multivariate heterogeneous data to the front-end prevention and management of telecommunication network fraud has become one of the focuses of… read more here.
Keywords: telecom fraud; fraud; fraud risk; risk warning ... See more keywords
Image-Based Telecom Fraud Detection Method Using an Attention Convolutional Neural Network
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DOI: 10.3390/e27101013
Abstract: In recent years, telecom fraud remains prevalent in many regions, severely impacting people’s daily lives and causing substantial economic losses. However, previous research has mainly relied on expert knowledge for feature engineering, which lags behind… read more here.
Keywords: fraud detection; convolutional neural; fraud; telecom fraud ... See more keywords