Video data security prevention system based on artificial intelligence

With the rapid development of artificial intelligence, video applications have become an indispensable part of water conservancy flood control and disaster mitigation. As an important carrier of multimedia information, video has been widely used in many informatization fields. However, video is vulnerable to various attacks during storage and transmission, resulting in a series of security issues. Therefore, the prevention and protection of video data security is a necessary technical means to promote the continuous development of video applications. The purpose of this paper is to discuss video data security prevention system based on artificial intelligence. In the experiment, taking the monitoring point at the gate of the M community as the experimental target, the experiment and results of the video data and the encryption effect of the video data are investigated and analyzed by using the algorithm. The PSNR values of the encrypted surveillance video images are all less than 26, and the SSIM values are all less than 0.3, which indicates that the encryption operation destroys the texture features of the video images, and the video content can no longer be recognized by the human eye, thus achieving the purpose of encryption.