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:
Apr. 07, 2026

Filed:

Nov. 28, 2022
Applicant:

Tencent Technology (Shenzhen) Company Limited, Shenzhen, CN;

Inventors:

Jing Peng, Shenzhen, CN;

Yong Yang, Shenzhen, CN;

Xiang Gan, Shenzhen, CN;

Xing Zheng, Shenzhen, CN;

Aisi Xu, Shenzhen, CN;

Shanshan Hua, Shenzhen, CN;

Jing Guo, Shenzhen, CN;

You Chang, Shenzhen, CN;

Yuhe Fan, Shenzhen, CN;

Wentao Tang, Shenzhen, CN;

Junli Shen, Shenzhen, CN;

Shu He, Shenzhen, CN;

Yue Wang, Shenzhen, CN;

Yu Liu, Shenzhen, CN;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); H04L 63/0236 (2013.01); H04L 63/20 (2013.01);
Abstract

A method for detecting abnormal network data includes performing feature extraction on a network data packet according to each of plural protocol types, and generating a corresponding data packet fingerprint set. The data packet fingerprint set includes one or more data packet fingerprints, each of the one or more data packet fingerprints corresponding to one of the plural protocol types. The method further includes matching at least one data packet fingerprint in the data packet fingerprint set and a reference data packet fingerprint in a reference data packet fingerprint library, and calculating a confidence corresponding to the network data packet based on confidence correlation information corresponding to each of the at least one matched data packet fingerprint. The method also includes obtaining a reference confidence, and determining an abnormality detection result of the network data packet based on the reference confidence and the calculated confidence.


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