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Network behavior detection method, device, computer equipment and storage medium

A detection method and behavioral technology, applied in computer parts, computing, secure communication devices, etc., can solve problems such as incomplete coverage, low detection accuracy of unknown abnormal behaviors, labor cost of detection network, etc., to improve accuracy Effect

Active Publication Date: 2022-04-15
BEIJING QIANXIN TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] However, the detection network is not only very labor-intensive, but also due to the constant changes in behavior models and security events, manual experience has a certain lag, often incomplete coverage, and poor ability to deal with unknown threats, making the detection accuracy of unknown abnormal behaviors low. not tall

Method used

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  • Network behavior detection method, device, computer equipment and storage medium
  • Network behavior detection method, device, computer equipment and storage medium
  • Network behavior detection method, device, computer equipment and storage medium

Examples

Experimental program
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Embodiment 1

[0036] The embodiment of the present invention provides a network behavior detection method, by which, the behavior data representing the network behavior in the network data is visualized, and based on the identification and processing of the image, it is determined whether the network behavior to be detected is an abnormal behavior, without Relying on expert experience, unknown abnormal behaviors can be detected, which improves the accuracy of detection of unknown abnormal behaviors. Specifically, figure 1 It is a flow chart of the network behavior detection method provided in Embodiment 1 of the present invention, such as figure 1 As shown, the network behavior detection method provided by this embodiment includes the following steps S101 to S103.

[0037] Step S101: Obtain the behavior data of the network behavior of the target subject within the unit time window to be detected, and obtain the behavior data group to be detected.

[0038] When it is necessary to detect whe...

Embodiment 2

[0084] Embodiment 2 of the present invention provides a preferred network behavior detection method, and the same technical features and technical effects as in Embodiment 1 above can be referred to for each other. In this embodiment, the network behavior detection method is realized by an abnormal behavior detection system, specifically, figure 2 The work flow chart of the abnormal behavior detection system provided by Embodiment 2 of the present invention, such as figure 2 As shown, the abnormal behavior detection system provided by this embodiment includes a data processing module, a behavior representation module, an abnormal behavior training module and an abnormal behavior prediction module.

[0085] The input of the data processing module is original network data, which can be original network traffic or log data, and any data that includes network behavior from the source (initiator) to the destination (receiver) is included in the present invention within the techn...

Embodiment 3

[0110] Embodiment 3 of the present invention provides a preferred network behavior detection method, and the same technical features and technical effects as those in Embodiment 1 and Embodiment 2 above can be referred to for each other. In this embodiment, the network behavior detection method is realized by an abnormal behavior detection system. Specifically, the abnormal behavior detection system provided in this embodiment includes a data processing module, a behavior representation module, a feature extraction training module, a feature extraction module, Abnormal behavior training module and abnormal behavior prediction module.

[0111] Wherein, as for the data processing module and the behavior representation module, reference may be made to the relevant content of the above-mentioned embodiment 2 for details, and details are not repeated here.

[0112]After the behavioral image data is obtained by the data processing module and the behavioral representation module, the...

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Abstract

The invention provides a network behavior detection method, device, computer equipment and storage medium. The network behavior detection method includes: obtaining the behavior data of the network behavior of the target subject within the unit time window to be detected, and obtaining the behavior data group to be detected; mapping the behavior data group to be detected into a behavior image according to a preset mapping rule, and obtaining the behavior data group to be detected image; and determine whether the network behavior to be detected is an abnormal behavior according to the image to be detected and a preset behavior detection model. Through the present invention, the accuracy of detecting unknown abnormal behaviors is improved.

Description

technical field [0001] The invention relates to the technical field of abnormal network behavior detection, in particular to a network behavior detection method, device, computer equipment and storage medium. Background technique [0002] In recent years, network security incidents have occurred continuously all over the world, and network security issues have become increasingly prominent. With the explosive growth of relevant data volume, network attack patterns are becoming more and more complex and changeable. In terms of defense, the discovery and disposal of known threats are easy at present, but there are often few ways to face unknown threats. Relying on the experience of security personnel and existing tools or products for analysis, these methods can no longer meet the needs of the industry. [0003] At the same time, artificial intelligence technology is developing rapidly, and machine learning and its branch deep learning technology have made great breakthroughs...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L9/40G06V20/52G06V10/764G06V10/762G06K9/62G06N3/04G06N3/08G06V10/82
CPCH04L63/1425G06N3/08G06V20/52G06N3/045G06F18/23G06F18/241
Inventor 王占一马江波
Owner BEIJING QIANXIN TECH
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