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Detection method and processing system based on online abnormal network message propagation

A technology of network information and detection methods, applied in network data retrieval, website content management, electronic digital data processing, etc., can solve problems such as economic loss, social panic, crowd panic, etc., to ensure safety and health, reasonable processing methods, The effect of reducing the number

Pending Publication Date: 2022-04-26
SHIHEZI UNIVERSITY
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] While the Internet serves people's lives for information communication, it also leads to the spread of some improper speeches, unhealthy information, etc., which brings wrong guidance to minors and some people, thereby causing social panic, and it is even more likely It will bring economic losses, crowd panic and threats to national security. It can be seen that how to avoid the dissemination of negative information and data in the network is one of the most important network security issues that need to be solved.

Method used

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  • Detection method and processing system based on online abnormal network message propagation
  • Detection method and processing system based on online abnormal network message propagation

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0057] The detection method based on online abnormal network message propagation in this embodiment, such as figure 1 shown, including the following steps:

[0058] Step1: Obtain the detection target network and analyze the properties of the detection target network;

[0059] Step2: Obtain and detect the target network user groups, obtain dynamic data in the online network in real time, and capture the corresponding URLs of the abnormal data in the dynamic data;

[0060] Step3: Set the detection period, and obtain all login URLs within the detection period and make statistics on them when detecting the abnormal information dissemination of the monitoring target network;

[0061] Step4: Analyze the click-through rate of all login URLs within the detection period, and simultaneously obtain the difference between the network and abnormal image data and keyword database corresponding to the real-time dynamic data of active login;

[0062] Step5: According to the click-through ra...

Embodiment 2

[0065] At the specific implementation level, on the basis of Embodiment 1, this embodiment refers to figure 1 The detection method of the online abnormal network message propagation in the embodiment 1 is shown in further detail, such as figure 1 As shown, step Step1 includes the following sub-steps:

[0066] Step11: Obtain the network share permission of the detection target, and view the usage information within the network share permission of the detection target;

[0067] Step12: Determine the network type, obtain the network access time of the detection target network, and capture the usage habits of the detection target network;

[0068] Among them, the network type judgment and distinction include the following two methods: local area network, metropolitan area network, wide area network, and personal network; star network, ring network, and bus network.

[0069] Step13: Predict the characteristic information of the detection target network users, obtain the detection...

Embodiment 3

[0072] At the specific implementation level, on the basis of Embodiment 1, this embodiment refers to figure 1 The detection method of the online abnormal network message propagation in the embodiment 1 is shown in further detail, such as figure 1 As shown, the following sub-steps are included in step Step2:

[0073] Step21: Set up abnormal image data and keyword database, and actively log in to the website corresponding to the real-time dynamic data when the online network is idle or the network is full of downlink;

[0074] Step22: Compare the difference between the network and abnormal image data and keyword database corresponding to the active login real-time dynamic data one by one;

[0075] Step23: According to the difference between the two, judge whether the corresponding page of the URL is safe in the real-time state;

[0076] Step24: Disable the pages corresponding to insecure URLs.

[0077] Such as figure 1 As shown, the step-by-step extension in step Step21 has ...

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Abstract

The invention relates to the technical field of network security monitoring, in particular to a detection method and processing system based on online abnormal network message propagation, and the method comprises the following steps: Step 1: obtaining a detection target network, and analyzing the attributes of the detection target network; step 2, obtaining a detection target network user group, obtaining dynamic data in an online network in real time, and capturing a website corresponding to data with an abnormal condition in the dynamic data; 3, a detection period is set, and all login websites in the detection period are obtained and counted when information propagation abnormity detection is carried out on the monitored target network; the detection method based on online abnormal network message propagation is used for network security maintenance, propagation of abnormal messages can be effectively intercepted through the method, the number of abnormal message propagation is reduced, meanwhile, judgment is carried out according to the type and attribute of a detected target network, and the detection accuracy is improved. And the probability of abnormal message propagation of the detection target network can be evaluated to a certain extent.

Description

technical field [0001] The invention relates to the technical field of network security monitoring, in particular to a detection method and a processing system based on online abnormal network message propagation. Background technique [0002] A network is composed of several nodes and links connecting these nodes, representing many objects and their interrelationships. [0003] While the Internet serves people's lives for information communication, it also leads to the spread of some improper speeches, unhealthy information, etc., which brings wrong guidance to minors and some people, thereby causing social panic, and it is even more likely It will bring economic losses, crowd panic and threats to national security. It can be seen that how to avoid the dissemination of negative information data in the network is one of the most important network security issues that need to be solved. Contents of the invention [0004] Technical issues resolved [0005] Aiming at the ab...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F16/958G06F16/2458
CPCG06F16/958G06F16/2462G06F16/2465
Inventor 刘长征张荣华邵闻珠马洪亮高嘉
Owner SHIHEZI UNIVERSITY
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