Artificial Neural Network-Based Steganography: Techniques, Applications, and Challenges

This paper aims to the understanding and advancement of ANN-based steganography by providing a comprehensive overview of its techniques, applications, and challenges in modern secure communication systems and digital media processing. Artificial neural network (ANN)-based steganography has emerged as a promising approach for embedding secret information into digital media while preserving perceptual quality and resisting detection. This paper presents a comprehensive review of ANN-based steganography techniques, covering various aspects including methodologies, applications, and challenges. Through an in-depth analysis of recent research and advancements, this paper aims to provide insights into the state-of-the-art techniques, applications, and future directions of ANN-based steganography.