Kyryl Shekhanin

Work place: V. N. Karazin Kharkiv National University, Svobody sq., 4, Kharkiv, 61022, Ukraine



Research Interests: Computer Science & Information Technology, Information Security, Information Systems, Information Retrieval, Information Storage Systems, Multimedia Information System


Kyryl Shekhanin
Graduate student of the Department security information systems and technologies of the V. N. Karazin Kharkiv National University, Ukraine. Areas of scientific interests: steganography, information hiding and steganographic analysis.

Author Articles
Detecting Hidden Information in FAT

By Kyryl Shekhanin Alexandr Kuznetsov Victor Krasnobayev Oleksii Smirnov

DOI:, Pub. Date: 8 Jun. 2020

Various steganographic methods are used to hide information. Some of them allow you to reliably hide the fact of storage and transmission of information data. This paper analysis the methods of technical steganography that are based on hiding information messages into the structure of the FAT file system by reordering particular clusters of specially selected files (cover files). These methods allow you to reliably hide information in the file system structure, while redundancy is not explicitly entered anywhere. This means that the hidden information is not explicitly contained in the service fields or individual clusters of the file system, the size of the data stored on the physical storage medium does not change. Such steganographic systems are very difficult to detect, it is almost impossible to identify the fact of hiding information by traditional methods. The steganographic analysis technique based on the study of file system properties was developed. In particular, we analyzed the fragmentation of various files stored on a physical medium, and examine the statistical properties of various types, sizes and uses of files. Identification of anomalous properties may indicate a possible reordering of clusters of individual files, i.e. this will detect hidden information. The study of these principles is important for a better understanding of the design and counteraction of steganographic systems based on the methods of reordering clusters of cover files in the structure of the FAT. Thus, this article substantiates new approaches to steganoanalysis of cluster file systems for information hiding—é. They are based on a statistical analysis of file systems of various data carriers, as well as an assessment of the fragmentation level of both individual files and the entire file system.

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