Development of an analytical software package for detecting steganographic messages in graphic images using explanatory artificial intelligence

The work is devoted to the development of an analytical software package for detecting steganographic messages in graphic images using explanatory artificial intelligence methods. The main purpose of the study is to increase the effectiveness of stepanalysis through the use of explicable AI technologies that allow not only to identify hidden information, but also to analyze the reasons and justifications for the results obtained. The paper examines methods of data concealment, modern approaches to their detection, and implements an image classification system with possible hidden embedding based on artificial intelligence technologies, explicable AI modules, and its own dataset. The developed complex can be useful to specialists in the field of information security, digital expertise and other interested users.