Steganalysis of a method with code control of information embedding in the walsh-hadamard transform domain

Steganography is an integral part of modern information protection systems.The steganographic method with code control of information embedding is a modern steganographic method that operates in the spatial domain of the container.The advantages of this method include: ensuring the reliability of perception, resistance to attacks against the embedded message, sufficient bandwidth, and high computational efficiency.In contrast to steganographic methods, steganalysis methods are created to allow the detection of embedded information.To date, no research has been performed on the resistance of the steganographic method with code control to cryptanalysis attacks.The specific methods for detecting interference using the steganographic method with code control are also unknown.The purpose of this paper is to develop a steganalysis method for detecting a covert channel organized using the steganographic method with code control of information embedding in the Walsh-Hadamard transform domain.In the paper, the research on the behavior of the Walsh-Hadamard transformants of containers and steganographic messages is performed, which allowed us to formulate the conditions for the presence of additional information in the image.These conditions became the basis for the development of an efficient and mathematically simple steganographic method that uses the Walsh-Hadamard transform domain.The performed research on the proposed method allowed us to establish its high efficiency in various conditions with low computational complexity.In particular, it is shown that the efficiency of the proposed method exceeds the efficiency of the histogram analysis method and methods implemented in the well-known StegExpose tool.The results obtained allow us to recommend the proposed steganographic method for practical application for detecting covert communication channels created using the steganographic method with code control.In particular, the simplicity of its algorithmic implementation makes the proposed method effective in conditions of constrained computing resources.