AI-based abnormal crowd identification method

A recognition method and crowd technology, applied in the field of abnormal crowd recognition based on AI, can solve the problems of high simulation degree and hysteresis, and achieve the effect of high simulation degree

Active Publication Date: 2020-04-28
GUANGZHOU LIZHI NETWORK TECH CO LTD
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  • Abstract
  • Description
  • Claims
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AI Technical Summary

Problems solved by technology

Such a discovery method requires users to have actual abnormal behaviors in batches. There is an obvious hysteresis for the il...

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  • AI-based abnormal crowd identification method
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  • AI-based abnormal crowd identification method

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Embodiment Construction

[0022] Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, the same numerals in different drawings refer to the same or similar elements unless otherwise indicated. The implementations described in the following exemplary examples do not represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatuses and methods consistent with aspects of the present disclosure as recited in the appended claims.

[0023] Such as figure 1 As shown, what this embodiment discloses is an AI-based abnormal crowd identification method, including the following steps,

[0024] Step 1 of S100: collect information, take the device as the research object, and collect all the device information that the device appears on the platform; when to collect information, no matter whether the device is successfull...

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Abstract

The invention relates to an AI-based abnormal crowd identification method, which comprises the following steps: 1, collecting information, namely collecting all equipment information of equipment appearing on a platform by taking the equipment as a research object; 2, implementing an unsupervised algorithm, and representing the collected data by using a data structure diagram; and 3, implementinga supervised algorithm, and constructing a binary classification prediction model through the data structure diagram in the step 2. The method solves the technical problems that the prior art is obviously lagging since users need to have actual batch abnormal behaviors, it takes a long time to keep and maintain an account, simulation is high, and the dark industry makes profits at one night and then disappears.

Description

technical field [0001] The invention belongs to the field of artificial intelligence algorithms, and in particular relates to an AI-based abnormal crowd identification method. Background technique [0002] With the rapid development of industries such as live broadcasting and games on the Internet, in various activities that companies invest in to attract new users and stimulate user activity and retention, there are more and more black production gangs lurking, pretending to be normal users. Batch intelligent means to profit from it. [0003] Black production gangs often have a group of fixed hardware devices (mobile phone walls, cat pools, etc.) and black production personnel. They use a small amount of real hardware devices to "manufacture" unlimited virtual accounts and reduce profit costs by changing various parameters through flashing machines and scripts. . [0004] The traditional method of discovering illegal products is to lock the group of users as the same grou...

Claims

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Application Information

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IPC IPC(8): G06F16/906G06K9/62G06N3/08
CPCG06N3/088G06F16/906G06F18/24323Y02P90/30
Inventor 颜晨帆陈勇华
Owner GUANGZHOU LIZHI NETWORK TECH CO LTD
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