Video Steganography Model Based On A Deep Neural Network
DOI:
https://doi.org/10.64252/wn4y9a73Keywords:
Traditional Image Steganography, Steganography, General Architecture, Attention, Group Normalization Block.Abstract
This article discusses about Stego-STFAN, a novel way to hide the contents inside a video. A model method that doesn't cost much connects the time and space areas. The Stego-STFAN method gets 27.03 and 23.09, which are close to the best that can be done now. It is called steganography to hide a message so that only certain people can read it. When you use steganography, one thing to consider is how big the message you want to hide is. This is because as the message gets longer, the protection level drops. They got bigger because of this thought. A new way to hide movies is based on the Attention process and the Spatial-Temporal Adaptive Filter Network (STFAN). This will help stego-frames work better and get more secrets back. Handling frames this way's faster and better because the filters and maps change as the frames are played.