Analysis of Innovative Practices on Steganographic Process with AI Based Algorithms

This paper presents a comprehensive analysis of the innovative practices in steganographic processes enhanced by AI-based algorithms. Steganography, the science of concealing information within other non-secret data, has been significantly transformed by the advent of artificial intelligence. We explore the integration of swarm intelligence algorithms in steganographic techniques, demonstrating their potential to improve the security and imperceptibility of embedded data. The research method encompasses a literature review, empirical analysis, and comparative studies to evaluate the performance of AI-enhanced steganography. Our findings indicate that AI-based methods, including those leveraging swarm intelligence, offer promising advancements in steganography, pushing the boundaries of data security and concealment.