Neural network-based security defense method for encrypted multimedia data, electronic device, and computer program product
US12339937B1 · kind B1 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 18, 2025 |
| Grant date | Jun 24, 2025 |
| Priority date | — |
| Expiry date | Mar 18, 2045 |
Classification
- Technology area (CPC H)Electricity
- CPC primaryH04N19/625
- WIPO fieldAudio-visual technology
- WIPO sectorElectrical engineering
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.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.