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Artificial intelligence-based user behavior big data mining method and system

A technology of artificial intelligence and big data, applied in the field of data security, it can solve problems such as hidden dangers and inaccurate detection of user behavior events

Active Publication Date: 2022-05-13
江西招商帮科技有限公司
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0002] At present, whether it is daily needs or work content, most people need to rely on smart devices and the network to complete, which brings convenience to people, but also brings corresponding security risks
Different from the user's on-site operations, the devices and servers involved in each scenario will perform corresponding operations according to the received user behavior events, and the existing user behavior event detection schemes mostly use relatively simple basis, such as user login location , time and other information, which makes the existing user behavior event detection inaccurate, and there are certain loopholes

Method used

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  • Artificial intelligence-based user behavior big data mining method and system
  • Artificial intelligence-based user behavior big data mining method and system

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Embodiment Construction

[0018] The specific implementation manners of the present application will be described in detail below in conjunction with the accompanying drawings.

[0019] Refer below figure 1 The method for mining user behavior big data based on artificial intelligence according to the embodiment of the present application is described. figure 1 A flow chart of an artificial intelligence-based user behavior big data mining method 100 provided by an exemplary embodiment of the present application is shown. Such as figure 1 As shown, the artificial intelligence-based user behavior big data mining method provided by an exemplary embodiment of the present application includes the following steps:

[0020] Step S110, acquiring pending user behavior events. For example, the pending user behavior event may be a user behavior event input by a user for detection, may be any user behavior event in a large number of user behavior event sets that need to be detected, or may be a user behavior eve...

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Abstract

This application discloses a user behavior big data mining method and system based on artificial intelligence. By extracting feature vectors of pending user behavior events, the feature vectors of pending user behavior events are generated, and then the feature vectors of pending user behavior events are extracted. Behavior validity judgment, to obtain the effective behavior feature vector of the pending user behavior event, based on the effective behavior feature vector, classify the user behavior event to determine the security operation level of the pending user behavior event, according to the pending user behavior event According to the security operation level of the pending user behavior event, conduct behavior classification processing or behavior determination processing, and finally determine and output the evaluation result of the pending user behavior event based on the processing result. By extracting the feature vector of the pending user behavior event, Improved the accuracy of user behavior event detection.

Description

technical field [0001] The present application relates to the technical field of data security, in particular, to an artificial intelligence-based user behavior big data mining method and system. Background technique [0002] At present, whether it is daily needs or work content, most people need to rely on smart devices and the network to complete, which brings convenience to people, but also brings corresponding security risks. Different from the user's on-site operations, the devices and servers involved in each scenario will perform corresponding operations according to the received user behavior events, and the existing user behavior event detection schemes mostly use relatively simple basis, such as user login location , time and other information, which makes the existing user behavior event detection inaccurate, and there are certain loopholes. Contents of the invention [0003] The present application provides an artificial intelligence-based user behavior big da...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2458G06F16/28G06F21/57
CPCG06F16/2465G06F16/285G06F21/577
Inventor 陈靓何景隆
Owner 江西招商帮科技有限公司