Software Implementation of Detection of Hidden Information in Multimedia Files

The aim of this study is software implementation of detection of hidden information in multimedia files.Research methods: method based on analysis of Chi-square statistics, Koch-Zhao method, method of expanding the palette of GIF container, method of using an additional block of GIF container comments.Result: software for the task of detecting hidden information in multimedia files has been developed.In addition, the article provides a brief overview and analysis of the state of the art of steganalysis.The proposed methods allow detecting the presence of hidden information embedded in multimedia files by various popular steganography tools with sufficiently high accuracy.The theoretical significance of this work lies in the development of a fairly promising approach to steganalysis.The practical significance lies in the developed software product, as well as in the confirmatory methods of steganalysis in relation to detecting hidden information in multimedia files.