Hangzhou Hikvision Digital Technology Co., Ltd.

Weikang Rao

Bin Wang

Kezhang Lin

Si Chen

Dechang Zhu

Chaohao Li

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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Hangzhou, China

Weikang Rao