A SECURE IMAGE STEGANOGRAPHY SYSTEM USING GENERATIVE MODEL AND ADVANCED ENCRYPTION TECHNIQUES

This work presents a novel method of image steganography in which the Glow model, an advanced generative model, is used to effectively insert a secret image within a cover image. Unlike traditional approaches that only hide text messages, our suggested solution significantly increases concealment ability by storing whole secret images. Furthermore, the system incorporates AES/Blowfish encryption techniques as an extra layer of protection to strengthen security measures and resilience against potential image-based attacks. This technique ensures that the hidden image is imperceptible to the human eye by using the Glow model to properly conceal it within the cover image. By encrypting the stego-image, the use of AES/Blowfish encryption improves security by reducing the possibility of unwanted access or manipulation. The effectiveness and resilience of the suggested system are proven by comprehensive testing and assessment. Effective steganography techniques, along with encryption techniques, provide a powerful solution to protect private image data in digital communication channels. All things considered, our study offers a thorough and practical method for image steganography, meeting the demand for increased security and concealment capability in modern data transfer settings.