Secure Image Steganography Using Deep Learning

The increasing reliance on digital communication has led to an increased need for secure methods to protect sensitive information. One such method is steganography, which involves hiding a message within another form of data, such as an image. The challenge lies in effectively embedding information within an image while maintaining the image's visual integrity and making the hidden data difficult to detect. The article proposes that a solution approach involves developing an image steganography system using Generative Adversarial Networks (GANs), complemented by a user-friendly website. To implement an image steganography system with GANs, develop and train the appropriate models for embedding and extracting data, and create a user-friendly website for seamless interaction. The result compares with the state-of-the-art and claims the significance of proposed deep learning techniques. The website should feature interfaces for uploading images, embedding data, extracting hidden information, and providing essential information and support. Further applications include digital watermarking for copyright protection and secure communication in sensitive environments.