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A kind of goip fraud phone identification method, system, medium and device

A fraudulent call and identification method technology, applied in the field of GoIP fraudulent call identification, to achieve effective combat and solve the effect of difficult identification

Active Publication Date: 2020-11-24
北京东方通网信科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] Because the GoIP device supports the conversion of traditional telephone signals into network signals, that is, the SIM card dial-up data is transmitted to the GoIP device through the network, and then the GoIP device is connected to the local communication base station to dial out the phone, which realizes the separation of the device and the SIM card, and a A GoIP device can simultaneously support multiple phone numbers for calls, group text messages, remote control, etc. The traditional methods of analyzing fraudulent behavior based on numbers and locating suspects’ device locations based on IMEI codes / SIM cards are no longer effective

Method used

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  • A kind of goip fraud phone identification method, system, medium and device
  • A kind of goip fraud phone identification method, system, medium and device
  • A kind of goip fraud phone identification method, system, medium and device

Examples

Experimental program
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Embodiment 1

[0038] Such as figure 1 , image 3 and Figure 4 Shown:

[0039] A method for identifying GoIP fraudulent calls, comprising:

[0040] S1: Obtain real-time call data, and input the real-time call data into a fraud call detection model obtained by using historical call data training to obtain a suspected fraudulent SIP bill, wherein, SIP is: Session InitiationProtocol, session initiation protocol;

[0041] For historical call data, through feature extraction, the behavioral features and number features in the call data are extracted, and the behavioral features and number features are combined with third-party data such as public security agencies for offline model training, such as model training using scene analysis modeling way to achieve. The model after offline modeling is used to distinguish the type of fraud, such as: counterfeiting public security organs, counterfeiting customer service personnel or counterfeiting CDC personnel, etc. Fraud models of counterfeit pub...

Embodiment 2

[0088] Such as Figure 5 As shown, on the basis of Embodiment 1, the present disclosure can also be improved as follows:

[0089] A method for identifying GoIP fraudulent calls of the present disclosure also includes:

[0090] S7: Analyzing the media stream generated by the suspected fraudulent SIP server to determine the type of fraud;

[0091] S8: Outputting the location of the GoIP device;

[0092] S9: output the fraud type.

[0093] According to the output results of S8 and S9, the public security department can carry out anti-fraud telephone early warning and management work.

[0094] Further, the type of fraud includes at least one of the following:

[0095] Fake public prosecutors, fake customer service personnel, and / or fake CDC personnel.

[0096] Fake public security organs, procuratorates, courts, medical insurance, social security, communications management bureaus, banks and other fraud models.

[0097] Counterfeit customer service personnel types, specifica...

Embodiment 3

[0101] Such as Figure 6 and Figure 7 As shown in FIG. 1 , a schematic structural diagram of a GoIP fraud call identification system of the present disclosure is shown.

[0102] A GoIP fraud phone identification system, comprising:

[0103] Call data obtaining module 100, for obtaining real-time call data;

[0104] Suspected fraudulent SIP bill determination module 200, for inputting said real-time call data into a fraudulent call detection model obtained by training historical call data to obtain suspected fraudulent SIP bills;

[0105] The suspected fraudulent SIP server determination module 300 is used to determine the SIP server that generates the suspected fraudulent SIP bill as the suspected fraudulent SIP server;

[0106] The real fraud-involved SIP bill determination module 400 is used to analyze the media stream generated by the suspected fraud-involved SIP server, and determine the real fraud-involved SIP bill;

[0107] The real fraudulent SIP server determinati...

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Abstract

The present disclosure provides a method, system, medium and equipment for identifying GoIP fraudulent calls. The method includes: acquiring real-time call data, and inputting the real-time call data into a fraudulent call detection model trained by using historical call data to obtain Suspected fraudulent SIP bills; the SIP server generating the suspected fraudulent SIP bills is determined to be a suspected fraudulent SIP server; parsing the media stream generated by the suspected fraudulent SIP server to determine the real fraudulent SIP bills; The SIP server that generates the real fraud-involved SIP call list is determined to be the real fraud-involved SIP server; the real fraud-involved IP address is determined according to the true fraud-involved SIP server; the corresponding geographic location of the real fraud-involved IP address is determined as the location of the GoIP device. The disclosure collects and analyzes basic characteristic data, identifies GoIP fraudulent communication behaviors, GoIP fraudulent phone types, and realizes the positioning of GoIP equipment, thereby solving the problem of difficult identification and positioning of GoIP fraud due to machine-card separation.

Description

technical field [0001] The present disclosure relates to the technical field of mobile communication security, and more specifically, the present disclosure relates to a method, system, medium and equipment for identifying GoIP fraudulent calls. Background technique [0002] Due to the high-pressure situation of cracking down on communication network fraud in China, fraud gangs continue to move overseas, and GoIP Internet calls have gradually become a new method for fraudsters. GoIP refers to a virtual dial-up device, which can switch the mobile phone number to call the victim at will. It has the characteristics of unattended, two-way conversation, and call-back (different from general VOS number changing software). It can hide the real location of the crime and counter interception and Signal traceability is extremely difficult. [0003] GoIP fraud gangs usually set up SIP servers and GoIP devices in their dens to complete the communication between GoIP and users. Such as...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04W12/12H04W64/00G06K9/62H04L29/06
CPCH04W64/00H04L65/1104G06F18/214
Inventor 崔婷婷周均赵瑞陈乔
Owner 北京东方通网信科技有限公司