Steganography

Video Steganography using Deep Learning

Steganography is the practice of concealing confidential information, to protect the information from an adversary, into an ordinary cover message in a way that the cover message does not seem suspicious to the adversary. Traditional image steganography techniques hide the secret image into high-frequency regions of the cover images. These techniques typically result in lower embedding ratios and easy detection. Recent deep-learning-based steganography methods have proven to improve the secrecy and capacity of steganography over traditional techniques. In our work, we propose a novel state-of-the-art deep 3D-CNN architecture with enhancement feature learning for full video steganography. 

References: 

1. En-VStegNET: Video Steganography using Spatio-temporal feature enhancement with 3D-CNN and Hourglass 

2. VStegNET: Video Steganography Network using Spatio-Temporal features and Micro-Bottleneck