Anti-communication network fraud identification method based on feature classification

A communication network and identification method technology, which is applied in the field of anti-communication network fraud identification based on feature classification, can solve the problem of low identification degree of network fraud data, and achieve the goal of avoiding receiving network fraud, easy interception and control, and high identification degree Effect

Pending Publication Date: 2020-08-14
贵州索讯科技有限公司
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  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Aiming at the deficiencies of the prior art, the present invention provides an anti-communication network fraud id...

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  • Anti-communication network fraud identification method based on feature classification

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Embodiment Construction

[0024] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0025] see figure 1 , the present invention provides a kind of technical scheme: a kind of anti-communication network fraud identification method based on characteristic classification, comprises the following steps:

[0026] S1. Data reception: external users generate network information, and the network information is received, collected and processed through the internal data collection device of the computer;

[0027] S2. Data analysis: the data acquisiti...

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Abstract

The invention discloses an anti-communication network fraud identification method based on feature classification, and relates to the technical field of anti-communication network fraud, and the method comprises the following steps: S1, data receiving; S2, data analysis; S3, data feedback confirmation; S4, performing manual auditing processing; S5, processing suspected data; and S6, processing result displaying, wherein, in the step S1, the data acquisition device internally comprises a data acquisition unit, a data processing unit and a CPU interface, the CPU interface is electrically connected with the data acquisition unit, and the data acquisition unit is electrically connected with the data processing unit. According to the method, the network fraud data can be better intercepted andcontrolled, the identification degree of the network fraud data is higher, external personnel are effectively prevented from receiving the network fraud, the unstored fraud data can be transmitted into the big database to be stored, an operator can match the next group of fraud data conveniently, and the identification and interception efficiency is improved.

Description

technical field [0001] The invention relates to the technical field of anti-communication network fraud, in particular to an anti-communication network fraud identification method based on feature classification. Background technique [0002] Internet fraud usually refers to the fraudulent means of defrauding others of property in various forms on the Internet in order to achieve a certain purpose. The main act and link of the crime occurs on the Internet, and a relatively large amount is defrauded by fabricating facts or concealing the truth There are various forms of Internet fraud in the behavior of public and private property, and the number of victims is gradually increasing. [0003] For communication network fraud, the existing anti-communication network fraud identification method based on feature classification processes fraud data in the process of preventing network fraud. Generally, external personnel set it up, close network advertisement pop-up windows, and use...

Claims

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Application Information

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IPC IPC(8): G06Q30/00G06Q50/30G06K9/62
CPCG06Q30/0185G06Q50/30G06F18/24
Inventor 胡军
Owner 贵州索讯科技有限公司
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