• Sonali
• Rajkumar Yadav

In an era characterized by extensive digital interconnectivity, the demand for data confidentiality and security is increasingly critical due to the vulnerability of digital communication to interception. StegoGAN represents an innovative advancement in image steganography, leveraging the capabilities of Generative Adversarial Networks (GANs) to transform the methodology of embedding confidential data within digital images. In contrast to traditional techniques, StegoGAN achieves a remarkable balance of imperceptibility, robustness, and data capacity. This literature review compares traditional steganography to StegoGAN, showing both the benefits and drawbacks of each approach. Traditional steganography, with its known ways for concealing information within digital media, has been a pillar of data security. However, the rise of Generative Adversarial Networks (GANs) has provided novel approaches for improving the security and efficiency of steganographic activities. This paper dives into numerous steganalysis strategies for uncovering hidden data, analyzing their effectiveness as well as the constant battle to strike a balance between concealment and discovery. By integrating machine learning with cryptographic principles, it successfully addresses the challenges posed by today's digital landscape, thereby facilitating the development of robust, scalable, and secure data-hiding solutions. Furthermore, this work offers future research areas, emphasizing the necessity of creating hybrid models that capitalize on the strengths of both methodologies while resolving their weaknesses. This analysis serves as a resource for researchers and practitioners seeking to understand the implications of integrating artificial intelligence into information hiding techniques & the findings add to a better understanding of the dynamic landscape of information hiding and security in the digital era.

"Stegogan: Revolutionizing Image Steganography Technique Using Generative Adversarial Networks(Gans)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 12, page no.c773-c779, December-2024, Available :http://www.jetir.org/papers/JETIR2412288.pdf

"Stegogan: Revolutionizing Image Steganography Technique Using Generative Adversarial Networks(Gans)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 12, page no. ppc773-c779, December-2024, Available at : http://www.jetir.org/papers/JETIR2412288.pdf