Analysis of Data Hiding Detection Methods Used in Steganalysis
Abstract
Purpose: To analyze the methods of detecting hidden data used in steganalysis.
Method: Analytical method.
Findings: A systematic analysis of modern methods for detecting hidden information in digital containers, particularly in images, audio, and video files, has been conducted. It has been established that steganalysis is a critically important component of information security, especially in the context of pervasive digital monitoring, cyber espionage, and the spread of unauthorized data exchange.
Theoretical implications: It involves the systematization and classification of modern steganalysis methods, as well as the identification of their strengths and weaknesses. The review of classical and contemporary approaches enables the formation of a comprehensive understanding of the development direction of steganography and its detection tools. The study expands scientific knowledge of the relationship between carrier types, characteristics of hiding algorithms, and the effectiveness of analysis methods.
Value: It lies in the ability to adapt the results to enhance the level of cybersecurity in organizations that handle confidential information. The described methods can be utilized both by information security specialists and by developers of cyber threat detection systems. The application of a combined approach that integrates statistical, signature-based, and machine learning algorithms allows for a significant improvement in the accuracy of detecting hidden data in digital environments.
Future research: In the course of further research, it is advisable to develop a method to reduce revealing features during steganographic protection of the message.
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References
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Copyright (c) 2025 Kostiantyn Semibalamut, Volodymyr Moldovan, Serhii Stefantsev
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