Unlock instant, AI-driven research and patent intelligence for your innovation.

Anti-garbage behavior detection method and device

A detection method and anti-spam technology, applied in security devices, monitoring/monitoring/test arrangements, electrical components, etc., can solve problems such as insufficient judgment accuracy and reduced detection efficiency of anti-spam behaviors.

Inactive Publication Date: 2019-04-09
CHINA MOBILEHANGZHOUINFORMATION TECH CO LTD +1
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Through the above judgment method for the behavior of the sender, although suspicious users can be found on a large scale, and they can be located and blocked, in the existing social software application scenarios, it is possible to prevent mass advertisements, illegal text messages, The proliferation of spam and hot news, but due to the lack of accuracy in judging violations due to the number of account logins, the amount of messages sent, the IP of the sending number, and the behavior data of the number's attribution, it requires the cooperation of manual review to achieve precise control and reduce Improve the detection efficiency of anti-spam behavior

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Anti-garbage behavior detection method and device
  • Anti-garbage behavior detection method and device

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0052] like figure 1 As shown, it is a schematic diagram of the implementation flow of the anti-spam behavior detection method provided in Embodiment 1 of the present invention, which may include the following steps:

[0053] S11. Determine whether the number to be detected sends a message at the preset detection time point in group sending, if yes, execute step S12, otherwise execute step S13.

[0054] During specific implementation, the security management and control platform collects and stores the full amount of real-time messages and user data of each number in real time from the service platform. The collected real-time messages may include but not limited to: message sending time, message body content, and user data may include but not Limited to: sending number, receiving number, login time information. Wherein, each number may be a mobile phone number of a mobile user.

[0055] During specific implementation, the security management and control platform counts the ...

Embodiment 2

[0075] Based on the same inventive concept, an anti-spam behavior detection device is also provided in the embodiment of the present invention. Since the problem-solving principle of the above-mentioned device is similar to the above-mentioned anti-spam behavior detection method, the implementation of the above-mentioned device can refer to the implementation of the method, and repeat I won't repeat them here.

[0076] like figure 2 As shown, it is a schematic structural diagram of the anti-spam behavior detection device provided in Embodiment 2 of the present invention, which may include:

[0077] Judging unit 21, for judging whether the sending method of the number to be detected at the preset detection time point is group sending;

[0078] The first detection unit 22 is configured to use a preset discrete degree algorithm according to the plurality of received numbers corresponding to the number to be detected at the detection time point and the number thereof if the judg...

Embodiment 3

[0087] Embodiment 3 of the present invention provides an electronic device, including a memory, a processor, and a computer program stored in the memory and operable on the processor. When the processor executes the program, the implementation of the present invention is realized. The anti-spam behavior detection method described in Example 1.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an anti-garbage behavior detection method and device, and improves the detection accuracy and efficiency of an anti-garbage behavior. The method comprises the following steps:judging whether a sending mode of sending a message by a to-be-detected number at a preset detection time point is a mass sending mode or not: performing violation detection of the to-be-detected number by utilizing a preset dispersion algorithm according to a plurality of receiving numbers corresponding to the to-be-detected number at the detection time point and the number of the plurality of receiving numbers to obtain a detection result; or else, performing violation detection of the to-be-detected number by utilizing a preset fan-degree algorithm to obtain a detection result according tothe number of the received numbers corresponding to the to-be-detected number in a preset detection time period and the number of the numbers sending the message to the to-be-detected number; and intercepting the message sent by the to-be-detected number within a preset interception time period when it is determined that the obtained detection result represents that the message is sent illegally.

Description

technical field [0001] The invention relates to the field of content anti-spam detection, in particular to an anti-spam behavior detection method and device. Background technique [0002] At present, Internet content anti-spam products are divided into three categories: garbage discovery, garbage identification and garbage disposal. Spam discovery is one of the most important links, and the breadth and determination of spam discovery directly affect the work efficiency of content anti-spam products. [0003] Spam detection is divided into violation prediction and content spam detection. Among them, anti-spam behavior is no longer limited to the stage of "post-processing" through anti-spam behavior prediction. The behavior of most illegal users has obvious characteristics such as large sending volume, large sending and receiving ratio, short sending interval, and low dispersion of receiver numbers. In the prior art, the user’s illegal behavior is mainly judged by counting t...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): H04W12/12H04M3/22H04W12/00H04W12/128H04W12/80
CPCH04M3/22H04W12/00H04W12/12H04M2203/6027
Inventor 费硕成
Owner CHINA MOBILEHANGZHOUINFORMATION TECH CO LTD
Features
  • R&D
  • Intellectual Property
  • Life Sciences
  • Materials
  • Tech Scout
Why Patsnap Eureka
  • Unparalleled Data Quality
  • Higher Quality Content
  • 60% Fewer Hallucinations
Social media
Patsnap Eureka Blog
Learn More