Analysis of tools for detecting unauthorized changes to multimedia data based on the Markov chain model

Abstract: This article analyzes methods for detecting unauthorized changes to multimedia data based on the Markov chain model and related problems. The article discusses the application of the Markov chain model for determining manipulations with multimedia materials, especially with images and videos. It analyzes how the Markov chain model's capabilities are particularly effective in detecting unauthorized changes in images, developing its algorithms, and detecting manipulations using them. The article will also discuss the main difficulties and problems that arise in the analysis of multimedia data, as well as the advantages and limitations of tools for fast and effective analysis of various volumes of material. This article focuses on the application of the Markov chain model and its importance in the field of digital vocabulary in detecting manipulation of multimedia materials.