Determination of unauthorized modification of multimedia data based on fourier transform and statistical models
Abstract : This article will look at the available tools and their problems in determining the unauthorized modification of multimedia data. The article analyzes Fourier transform and statistical models as one of the most used techniques for detecting manipulation in multimedia documents. Using the Fourier transform, the process of determining the frequency spectrum of data and its variations is shown, as well as analyzing images and videos using statistical methods. The article also addresses the major challenges faced in multimedia data analysis, including tool analysis regarding large data volumes and improved analysis performance. To ensure the effectiveness of the analysis, innovative approaches and methods are considered, which makes it possible to develop more effective and quick methods for determining unauthorized modification of multimedia materials.
Institutions
- Tashkent University of Information Technology (UZ)
- Tashkent Islamic University (UZ)
- Tashkent State University of Economics (UZ)
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2025-04-08
- DOI
- https://doi.org/10.5281/zenodo.15175691
- Primary Topic
- Digital Media Forensic Detection
- Type
- article
- Field-Weighted Citation Impact
- 0.00