Early warning method and device for network fraud, and computer equipment
A kind of equipment and network technology, applied in the field of computer information processing, can solve the problems of poor versatility, unstable model, short application time of model prediction, etc., and achieve the effect of optimizing the model structure
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Embodiment 1
[0045] Below, will refer to Figure 1 to Figure 3 Embodiments of the early warning method for network fraud of the present invention are described.
[0046] figure 1 It is a flow chart of the network fraud early warning method of the present invention. Such as figure 1 As shown, the early warning method includes the following steps.
[0047] Step S101 , establishing and training a plurality of basic models for scoring the tendency to be deceived, each of which can predict the tendency to be deceived of the associated user of the user equipment according to the characteristics of the user equipment.
[0048] Step S102, monitor the associated user equipment of the user who has been cheated within a specific time period recently, and use the deception tendency score of each base model for the associated user equipment and the characteristics of the user equipment used by each base model as candidate variables.
[0049] In step S103, the candidate variables are screened accord...
Embodiment 2
[0134] An apparatus embodiment of the present invention is described below, and the apparatus can be used to execute the method embodiment of the present invention. The details described in the device embodiments of the present invention should be regarded as supplements to the above method embodiments; details not disclosed in the device embodiments of the present invention can be implemented by referring to the above method embodiments.
[0135] refer to Figure 4 , Figure 5 and Figure 6 , the present invention also provides a network fraud early warning device 400, the early warning device 400 includes: a processing module 401, used to establish and train a plurality of basic models of the tendency to be deceived, each of which can be based on user equipment The feature predicts the deception tendency of the associated user of the user equipment; the monitoring module 402 is used to monitor the associated user equipment of the user who has been deceived within a specifi...
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