In order to enhance the public’s awareness of network security, innovative educational means are particularly important. Combining digital art and animation elements as the carrier of network security propaganda, and utilizing advanced technologies such as style migration and self-attention mechanism, a network security propaganda platform with fun and interactivity can be designed so as to improve the dissemination effect of the platform and user participation. This paper proposes a design method of network security publicity platform based on digital art animation elements. The animation elements are extracted by style migration technology, and the generator and discriminator structures are optimized by combining the self-attention mechanism to achieve highquality animation image generation. The evaluation metrics used include PSNR and SSIM, and the experimental results show that compared with the traditional GAN model, the improved AnimeGANv2-Self-Attention model significantly improves the image stylization effect, with a 1.39% increase in PSNR and a 2.99% increase in SSIM value. In addition, the cybersecurity publicity platform designed in this paper combines animation elements and cybersecurity education, which has a high degree of user attraction and participation. By analyzing the actual user data, the difference between the experimental group and the control group in terms of publicity effect is significant, indicating that the platform is more effective than traditional publicity means in enhancing cybersecurity awareness.
