Third-party platform payment fraud behavior online detection method based on LSTM
A detection method and behavioral technology, applied in the direction of neural learning methods, instruments, biological neural network models, etc., can solve problems such as fund theft, inability to detect and identify new financial losses in real time, account theft, etc., and achieve strong fraud identification capabilities, The effect of reducing the risk of financial fraud and high accuracy
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[0031] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.
[0032] LSTM-based online detection method for third-party platform payment fraud, combined with figure 1 As shown, it includes the following steps, step 1: data collection: including collecting basic information and historical behavior data of customer account registration from the back end of the third-party payment platform and obtaining real-time measurement point data from monitoring software; step 2: data preprocessing : Preprocess the collected data, includin...
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