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Anti-fraud prediction method and system based on network link backtracking

A network link and prediction method technology, applied in the Internet field, can solve problems such as fraudulent income, failure to achieve results, and inability to obtain platform discounts and benefits

Active Publication Date: 2020-10-16
北京江融信科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] From the perspective of real users, it is impossible to obtain real platform discounts and benefits; and for credit platforms, it has not achieved the effect of actually attracting real users, and malicious users have taken false income

Method used

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  • Anti-fraud prediction method and system based on network link backtracking
  • Anti-fraud prediction method and system based on network link backtracking
  • Anti-fraud prediction method and system based on network link backtracking

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] figure 1 A schematic flow chart of an anti-fraud prediction method based on network link backtracking provided by an embodiment of the present invention, the anti-fraud prediction method includes the following steps:

[0053] Step 100: Obtain the unique identifier of the user according to the first network link;

[0054] Step 200: Encrypt the unique user identifier to generate a second network link; wherein, the first network link includes a mobile phone application connection or an H5 webpage network link, etc.;

[0055] Step 300: Obtain the number of deduplicated identifiers of the second network link in the historical time period according to the unique identifier of the user;

[0056] Since each second network link is unique, and each second network link may be clicked multiple times by a user, it is necessary to record the number of identifiers of the clicked second network connections after deduplication.

[0057] Step 400: Perform feature analysis on the histor...

Embodiment 2

[0105] figure 2 A schematic structural diagram of an anti-fraud prediction system based on network link backtracking provided by an embodiment of the present invention, the anti-fraud prediction system includes a first acquisition module, an encryption module, a second acquisition module, a first analysis module, a second analysis module, fusion module and prediction module; where,

[0106] The first obtaining module is used to obtain the user's unique identifier according to the first network link;

[0107] The encryption module encrypts the user unique identifier to generate a second network link;

[0108] The second acquiring module acquires the deduplicated number of identifiers of the second network link in a historical time period according to the unique identifier of the user;

[0109] The first analysis module performs characteristic analysis on the historical behavior of the historical promotion content according to the deduplication quantity of the identification,...

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Abstract

The invention discloses an anti-fraud prediction method based on network link backtracking. The anti-fraud prediction method comprises the steps: obtaining a unique identifier of a user according to afirst network link; encrypting the user unique identifier to generate a second network link; obtaining an identifier deduplication number of the second network link in a historical time period according to the unique identifier of the user; performing feature analysis on the historical behaviors of a historical promotion content according to the identification deduplication number to obtain a first analysis result; performing feature analysis on historical behaviors of the historical anti-fraud content according to the identification deduplication number to obtain a second analysis result; fusing the first analysis result, the second analysis result and the historical reference behavior feature information to generate an anti-fraud prediction model; and predicting the behavior of a new user of the network link by utilizing the anti-fraud prediction model. The invention further discloses an anti-fraud prediction system based on network link backtracking. According to the invention, thenew user behavior of the network link is predicted by using the anti-fraud prediction model, and the risk probability of group fraud is reduced.

Description

technical field [0001] The invention belongs to the technical field of the Internet, and in particular relates to an anti-fraud prediction method and system based on network link backtracking. Background technique [0002] In the financial anti-fraud method, it is necessary to determine whether the user meets the loan needs, which requires a large amount of data support, and most of the data comes from mobile phone device data and credit information. [0003] Based on the development of modern network technology, in the era of the rise of mobile application devices, network applications provide convenience for people. However, in the current credit industry, there are endless fraudulent behaviors for profit and fleece behaviors for obtaining preferential treatment. [0004] Loan fraudsters have gradually improved their ability to package credit data and device data, but the means to obtain credit information of real users are very limited. Most data risk control methods sti...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06Q20/40G06Q40/02
CPCG06Q20/4016G06Q40/03
Inventor 衣得平吴蕴初姜一帆谭世书
Owner 北京江融信科技有限公司