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:
Jun. 24, 2025

Filed:

Mar. 18, 2025
Applicant:

Hangzhou Hikvision Digital Technology Co., Ltd., Hangzhou, CN;

Inventors:

Bin Wang, Hangzhou, CN;

Dechang Zhu, Hangzhou, CN;

Weikang Rao, Hangzhou, CN;

Chaohao Li, Hangzhou, CN;

Si Chen, Hangzhou, CN;

Kezhang Lin, Hangzhou, CN;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/16 (2013.01); G06N 3/0464 (2023.01); G06N 3/08 (2023.01); H04N 19/124 (2014.01); H04N 19/467 (2014.01); H04N 19/625 (2014.01);
U.S. Cl.
CPC ...
G06F 21/16 (2013.01); G06N 3/0464 (2023.01); G06N 3/08 (2013.01); H04N 19/124 (2014.11); H04N 19/467 (2014.11); H04N 19/625 (2014.11);
Abstract

The present disclosure provides a neural network-based security defense method for encrypted multimedia data, including: adding implicit digital watermark information to original encrypted multimedia traffic to obtain watermark encrypted multimedia traffic; determining a first feature sequence of the watermark encrypted multimedia traffic; based on the first feature sequence and a second feature sequence of the original encrypted multimedia traffic, determining a correlation coefficient between the first feature sequence and the second feature sequence; and if the correlation coefficient indicates that a negative correlation between the first feature sequence and the second feature sequence satisfies a preset condition, performing training based on the first feature sequence and the second feature sequence to obtain a target neural network, where the target neural network is configured to identify whether there is implicit digital watermark information in encrypted multimedia traffic to be detected.


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