Video Steganography

Video steganography focuses on concealing secret data within video files, aiming for undetectable embedding and reliable extraction. Current research emphasizes developing robust methods resistant to common video distortions and employing deep learning architectures, such as convolutional neural networks and invertible neural networks, to improve embedding capacity and security. These advancements are crucial for addressing concerns about multimedia authenticity and copyright protection in the age of AI-generated content, with applications ranging from forensic video analysis to secure communication. The field is also exploring techniques that leverage both visual and audio components for enhanced data hiding and localization of manipulations.