Anti-fraud identification method, device, server and storage medium

Abstract

The embodiments of the present invention disclose an anti-fraud identification method, an anti-fraud identification device, a server and a storage medium. The method includes the following steps that:when a voice collection instruction sent by a user to be identified is received, current voice signals which are inputted by the user to be identified according to a preset input mode are collected;current voiceprint feature parameters in the current voice signals are extracted, wherein the current voiceprint feature parameters include an oral feature parameter, a nasal feature parameter, blade-alveolar and retroflex feature parameters or vocal cord feature parameters; when the current voiceprint feature parameters are matched with pre-stored fraud voiceprint feature parameters, current frequency values corresponding to the current voiceprint feature parameters are obtained from a database; and when the current frequency values are greater than preset frequency threshold values, the userto be identified is identified as a fraudulent user. With the anti-fraud identification method, anti-fraud identification device, server, and storage medium provided by the embodiments of the presentinvention adopted, the accuracy of the identification of fraudulent behaviors can be improved.

Description

technical field [0001] The embodiments of the present invention relate to the technical field of network fraud, and in particular to an anti-fraud identification method, device, server and storage medium. Background technique [0002] With the development of science and technology, the application of e-commerce has become more and more extensive, and the confidentiality, integrity and security of information have been greatly tested. [0003] In the existing fraud identification methods, at present, the identity of the user is mainly verified by recognizing the face or proofreading the basic information of the user. However, the two methods for verifying the user's identity provided by the existing technology have defects. Among them, the counterfeit applicant in the recognition of the face uses the 3D software modeling technology to prepare the user's "mask face". , it is easy to misjudgment, resulting in the success of face recognition; or a counterfeit applicant can stea...

AI Technical Summary

Problems solved by technology

However, the two methods of verifying the user's identity provided by the existing technology have defects. Among them, the counterfeit applicant in the recognition of the face uses the 3D software modeling technology to prepare the user's "mask face". , it is easy to misjudgment, resulting in the success of face recognition; or a counterfeit applicant can steal the basic information of the user, such as: user name, family information and work information, etc., can pretend to be the user to apply for credit, potentially making the basic information of the user proofread success

Therefore, the existing technology has low accuracy in verifying user identity fraud, is prone to misjudgment, and easily threatens the user's property security.

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