Network Steganography

Network steganography focuses on concealing data within digital images, audio, or even neural networks themselves, aiming to create undetectable hidden messages. Current research emphasizes developing robust methods that resist detection by advanced steganalysis techniques, often employing deep learning models like convolutional neural networks and generative adversarial networks to achieve high embedding capacity and visual fidelity. This field is significant for its implications in secure communication and data protection, with ongoing efforts to improve the security, efficiency, and cross-modal capabilities of these techniques.