Year: 2025
Type: article
Abstract: GAN-based coverless video steganography method that enhances data security without modifying the carrier media. A Generative Adversarial Network (GAN) is employed to create synthetic video sequences, which are mapped to secret data, forming a Secret Communication Video Database (SCVD). The proposed method generated inter-frame using GAN and use its similarity for improved embedding capacity and security. Unlike conventional methods, this approach eliminates the need for auxiliary data transmission, reducing the risk of steganalysis detection. Experimental results demonstrate the superiority of this technique over existing methods in terms of robustness, embedding capacity, and security.
DOI: 10.63278/1421
Authors: D. Sreedher, P. Padmanabam, JVR Murthy
Institution: Jawaharlal Nehru Technological University, Kakinada
Language: English
Subfield: Computer Vision and Pattern Recognition
Field: Computer Science
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4410187379