Computer Multimedia Security Protection System Based on the Network Security Active Defense Model

In response to the continuous development of computer science and multimedia technology, many problems related to computer multimedia security are gradually exposed in the development. Through the existence of hidden dangers of computer multimedia security, a computer is constructed based on the network security active defense model. For a multimedia security protection system, select four modules in the system for design and description. Finally, the experimental results show that the system designed in this study can realize the security protection of computer multimedia, and the system is simple to operate and has strong practicability and meets the expected design effect.

Neural Linguistic Steganalysis via Multi-Head Self-Attention

Linguistic steganalysis can indicate the existence of steganographic content in suspicious text carriers. Precise linguistic steganalysis on suspicious carrier is critical for multimedia security. In this paper, we introduced a neural linguistic steganalysis approach based on multi-head self-attention. In the proposed steganalysis approach, words in text are firstly mapped into semantic space with a hidden representation for better modeling the semantic features. Then, we utilize multi-head self-attention to model the interactions between words in carrier. Finally, a softmax layer is utilized to categorize the input text as cover or stego. Extensive experiments validate the effectiveness of our approach.