Detection method and device of fraud user

Abstract

The invention provides a detection method and device of a fraud user. The detection method of the fraud user includes: acquiring application information of at least one application user, and acquiringinspection information of the application user according to the application information of the at least one application user and an anti-fraud rule, wherein the anti-fraud rule is used to indicate preset conditions which inspection information of a suspected fraud user meets, and the acquired inspection information of the application user corresponds to the preset conditions in the anti-fraud rule; determining whether the inspection information of the at least one application user matches the anti-fraud rule, and determining that the application user, of which the inspection information matches the anti-fraud rule, is the suspected fraud user; and when the at least one suspected fraud user is determined in the at least one application user, generating fraud prompting information, and sending the same to a credit auditor. Reducing fraud risks on the premise of not impacting normal user experience is realized.

Description

technical field [0001] The invention relates to the technical field of intelligent processing of network information, in particular to a method and device for detecting fraudulent users. Background technique [0002] iResearch predicts that from 2014 to 2017, the scale of China's consumer credit will still maintain a compound growth rate of more than 20%, and from the perspective of industry development trends, more and more financial activities will be completed online through the Internet. [0003] The credit industry is booming, but the risk of credit fraud should not be underestimated. Especially for online credit products on the Internet, due to the support of their wireless team, it is impossible to perform the three-parent inspection action of personally checking, signing, and visiting, which makes them face more severe fraud risks and are more vulnerable to fraud attacks. [0004] According to the "China Bank Card Development Blue Book" issued by the China Banking A...

AI Technical Summary

Problems solved by technology

[0005] However, in the prior art, there is no effective method to reduce the risk of fraud. Therefore, there is an urgent need for a method and device for detecting fraudulent users, so as to reduce the risk of fraud without affecting the normal user experience.

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