Network security data visualization method based on content recommendation algorithm

Through the network security data visualization method based on content recommendation algorithm, the network security threat identification problem caused by user subjectivity in traditional methods is solved, and the network security threat data is displayed in multiple dimensions is realized, which improves the continuous protection ability of network security.

CN119719485APending Publication Date: 2025-03-28FUJIAN FUJITSU COMM SOFTWARE CO LTD
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Patent Information

Application Number
CN202411724682.0
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2024-11-28
Publication Date
2025-03-28

AI Technical Summary

Technical Problem

Traditional network security data visualization methods are difficult to effectively identify and defend against network security threats due to the personal subjectivity of users, especially when serious attacks are not realized or occur.

Method used

The network security data visualization method based on the content recommendation algorithm is adopted. By collecting network security data and user basic data, the content recommendation algorithm is used to calculate the content quality score value, forming a list of user preference content recommendations, and adopting a decentralized display mode to display users' attention to content, high-quality content without preferences, and the latest timely content.

Benefits of technology

It effectively improves the continuous protection capabilities of network security, displays network security threat data in multiple dimensions and diversify and correlate, helping users better identify and defend against network security threats.

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Abstract

The invention discloses a network security data visualization method based on a content recommendation algorithm, and the method comprises the steps: 1, collecting and obtaining network security data and user basic data, and enabling the network security data to serve as contents to be stored into a content pool; 2, user preference scoring is carried out based on the user basic data, and weights are set for different types of data of the user basic data; 3, content quality score values are calculated according to the contents of different users, and the contents with high quality scores are recommended according to the user preference scores from high to low to form a user preference content recommendation list; 4, a decentralized display mode is adopted, and three content modules of user preference content, non-preference high-quality research and judgment value content and latest aging content are formed; and 5, converting the data of the three content modules into corresponding digital models, and pushing the content to a data visual interface of the user for visual display. According to the data visualization content presentation based on the content recommendation algorithm, the network security threat data is displayed in a multi-dimensional, diversified and multi-associated manner.
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