A cross-network fraud correlation analysis method, system and computer storage medium

Abstract

This application discloses a cross-network fraud-related analysis method, system and computer storage medium. The cross-network fraud-related analysis method includes: obtaining a first phone number and related information, the first phone number being a phone number that has been determined to be fraud-involved ; extract keywords from the relevant information of the first phone number, the keywords include the second phone number and / or Internet account number, input the second phone number into the artificial intelligence-based phone information anti-fraud research and judgment module, and input the Internet account number based on artificial intelligence; The intelligent Internet information anti-fraud research and judgment module is used to judge whether the telephone number and Internet account are fraudulent, and if fraudulent, input the fraudulent telephone number information database and the fraudulent Internet account information database respectively. The cross-network fraud-related analysis method also combines the relevant information of the fraud-related phone number information database and the fraud-related Internet account information database to conduct cross-network fraud-related joint analysis, so as to realize the prior judgment and prevention of fraud incidents across the telephone network and the Internet network .

Description

technical field [0001] The present application relates to the network field, in particular to a cross-network fraud correlation analysis method, system and computer storage medium. Background technique [0002] With the rapid development of the Internet and the gradual improvement of the degree of social informatization, incidents of telecommunications and network fraud continue to appear, the methods of fraud are more concealed, and the methods of fraud are constantly being refurbished. The form of fraud has also changed from traditional fraud such as the use of voice messages to a new type of fraud that takes advantage of social hotspots and industry loopholes, with the help of telecommunications networks, the Internet and other methods. Most of the existing fraud methods involve cross-field methods, such as using mobile phone numbers to register Internet accounts, and using Internet methods to conduct fraudulent activities. The current fraud detection is mainly aimed at ...

AI Technical Summary

Problems solved by technology

Due to the difficulty of direct interaction and sharing of data from different networks, the current anti-fraud means lack the coordination and cooperation between the telecommunication network and the Internet, so it is difficult to accurately judge the fraud incidents across the telecommunication network and the Internet

[0003] The relevant research of the prior art mainly focuses on the preliminary judgment of network fraud on information such as telephone calls, SMS messages, and bank account numbers in the Internet, and is not applicable to cross-domain network fraud methods.

In addition, the cross-domain correlation analysis method involving mobile phone numbers and account numbers is not suitable for the application scenario of telecom network fraud

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