The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 25, 2026

Filed:

Oct. 31, 2022
Applicant:

Tsinghua University, Beijing, CN;

Inventors:

Ke Xu, Beijing, CN;

Yi Zhao, Beijing, CN;

Yang Liu, Beijing, CN;

Haibin Li, Beijing, CN;

Assignee:

TSINGHUA UNIVERSITY, Beijing, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06N 3/045 (2023.01); G06N 3/0464 (2023.01); G06N 3/048 (2023.01); H04L 41/16 (2022.01); G06N 3/096 (2023.01); H04L 41/14 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1433 (2013.01); G06N 3/045 (2023.01); G06N 3/0464 (2023.01); G06N 3/048 (2023.01); H04L 41/16 (2013.01); H04L 63/20 (2013.01); G06N 3/096 (2023.01); H04L 41/145 (2013.01);
Abstract

A network security situation awareness method based on collaborative learning is provided. The method includes integrating network security situation data monitored at different monitoring points in network units, and determining a unified data presentation form in each of the network units; obtaining an initial network security situation awareness model by constructing and optimizing a local network security situation awareness process; improving generalization ability of the network unit in feature extraction to meet a preset condition by using a collaborative learning framework, and obtaining a final network security situation awareness model by performing secondary fine-tuning on the personalized customization component based on the attention mechanism; performing network security situation awareness on a target network unit by using the final network security situation awareness model, and updating a training set of the final network security situation awareness model according to a network security situation awareness result.


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