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.

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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
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article

Determination of unauthorized modification of multimedia data based on fourier transform and statistical models

Zenodo (CERN European Organization for Nuclear Research)
Digital Media Forensic Detection
article

Determination of unauthorized modification of multimedia data based on fourier transform and statistical models

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Tashkent University of Information Technology (UZ), Tashkent Islamic University (UZ), Tashkent State University of Economics (UZ)
Openalex Percentile: Top 56%
Digital Media Forensic Detection
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