This article reviews existing tools for detecting unauthorized modification of multimedia data and their problems. The article analyzes Fourier transform and statistical models as one of the most widely used methods for detecting manipulation in multimedia documents. The process of determining the frequency spectrum of data and its changes using Fourier transform, as well as analyzing images and videos using statistical methods, is shown. The article also provides an analysis of the main problems encountered in analyzing multimedia data, including the large volume of data and tools for improving the efficiency of analysis. Innovative approaches and methods are considered to ensure the efficiency of analysis, which will allow developing more effective and faster methods for detecting unauthorized modification of multimedia materials.

multimedia data, digital forensics, Cybersecurity

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