Cipher Care : Multi-Authentication Video Steganography Powered by CNNs

In the age of digital communication and safeguarding data, the imperative to discreetly hide confidential information in plain view has grown significantly crucial. This paper, titled "Cipher care: Multi-Authentication Video Steganography Powered by CNNs" addresses this need by developing a novel approach to hide one video within another, secured by dual authentication mechanisms. The system's process is when a user submits a 'cover video' and a 'hide video,' accompanied by a unique password and an authentication audio clip. The innovation lies in the use of Convolutional Neural Networks (CNNs) to seamlessly embed the hide video within the cover video, leveraging CNNs' understanding of spatial relationships. Authentication hinges on the user password and the provided audio clip, both of which are vital for successful hidden video recovery. Results demonstrate Cipher Care's exceptional performance with an average PSNR of 64.01 dB, surpassing traditional steganography methods.