Big data driven network security situation monitoring and visualization method

Through big data-driven network security situation monitoring and visualization methods, distributed big data network element resources and feedforward neural network model are used to foresee the network security situation in the future time interval, and solve the problem of the inability to foresee the future network security situation in the existing technology. The problem has been achieved in advance and the effectiveness of improving network security performance.

CN119496642AActive Publication Date: 2025-02-21GUIZHOU WUJIANG HYDROPOWER DEV
View PDF 5 Cites 0 Cited by

Patent Information

Application Number
CN202411578045.7
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-06
Publication Date
2025-02-21
Estimated Expiration
2044-11-06

AI Technical Summary

Technical Problem

The existing technology cannot predict and monitor the network security situation in the future time interval, resulting in a lack of early response measures when a crisis network security incident occurs, increasing the probability of being successfully attacked.

Method used

A big data-driven network security situation monitoring and visualization method was designed. Using distributed design big data network element resources, a network security situation monitoring model after corresponding training scale was constructed for a server group composed of multiple servers. Intelligent judgment is made based on multiple basic data, foresee the network security situation in the future time interval, and visualize and respond in advance.

Benefits of technology

By foreseeing monitoring and visualizing the network security situation in the future time interval, it can respond to potential crises in advance, reduce the possibility of network crises, and improve the overall network security performance of the server cluster.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN119496642A_ABST
    Figure CN119496642A_ABST
Patent Text Reader

Abstract

The invention relates to a big data driven network security situation monitoring and visualization method, and relates to the field of network security, and the method comprises the steps: employing a big data network element to carry out each training operation on a feedforward neural network to obtain a network security situation monitoring model; based on the duration of each time interval, the network security situation monitoring model is used for setting various configuration data of the server cluster and setting the number of the past attack virus of the server cluster to intelligently judge the number of the attack virus corresponding to the set server cluster in the target time interval. According to the invention, the method can depend on the big data network element resources in a distributed design, and employs the network security situation monitoring model after the corresponding training scale to predictively predict, monitor and cope with the network security situation of the server cluster in the future time interval for the server cluster composed of a plurality of servers. Therefore, the probability of successful virus attack is reduced, and the network crisis of data leakage or system paralysis is avoided.
Need to check novelty before this filing date? Find Prior Art

Citation Information

Patent Citations

  • Network security situation real-time monitoring method

    CN116032650A

  • Method, device and equipment for monitoring carbon emission of power distribution network and storage medium

    CN116231633A

  • Virus processing method and device, equipment and storage medium

    CN110826069A

  • Communication network security situation awareness protection disposal technology and method

    CN112733893A

  • System and method for extracting and combining electronic risk information for business continuity management with actionable feedback methodologies

    US20200322370A1