A detection method, device, server and storage medium

Abstract

The embodiment of the invention relates to the field of data processing, and discloses a detection method, device, server and storage medium. In some embodiments of the present application, the detection method includes: after determining that the user's call behavior data indicates that the user's call behavior meets the first preset condition, determining the suspicious phone number according to the user's call behavior data or the user's phone number; The first call feature of the suspicious phone number, to determine whether the suspicious phone number is a fraudulent phone number; wherein, the first call feature of the suspicious phone number is based on the call behavior data of the suspicious phone number, and / or the consumption behavior data of the suspicious phone number definite. In this part of the embodiments, problems such as infringing on the user's call privacy and affecting the user's perception are avoided.

Description

technical field [0001] The embodiments of the present invention relate to the field of data processing, and in particular to a detection method, device, server and storage medium. Background technique [0002] In recent years, the losses caused by communication and information fraud have increased year by year, and fraud forms and scripts have emerged in an endless stream. Fraud gangs often pretend to be relatives, friends, and public officials to defraud victims. After making multiple calls and gaining the trust of victims, they lure victims to transfer funds to the accounts of fraud gangs, causing property losses to users. [0003] However, the inventor found that at least the following problems exist in the prior art: it is difficult to obtain marked samples of fraudulent phone numbers, and it takes a long time to crawl the third-party blacklist library, and for the short active period or new fraudulent phone numbers Difficult to recognize. There are many technologies r...

AI Technical Summary

Problems solved by technology

Fraud gangs often pretend to be relatives, friends, and public officials to defraud victims. After making multiple calls and gaining the trust of victims, they lure victims to transfer funds to the accounts of fraud gangs, causing property losses to users

[0003] However, the inventor found that at least the following problems exist in the prior art: it is difficult to obtain marked samples of fraudulent phone numbers, and it takes a long time to crawl the third-party blacklist library, and for the short active period or new fraudulent phone numbers difficult to identify

There are many technologies in the industry related to communication information fraud identification, but there are problems such as violating user privacy in calls and affecting user perception

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