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DOI: 10.14569/IJACSA.2021.0120554
PDF

Increasing the Steganographic Resistance of the LSB Data Hide Algorithm

Author 1: A. Y. Buchaev
Author 2: A. G. Mustafaev
Author 3: V.S. Galyaev
Author 4: A. M. Bagandov

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 5, 2021.

  • Abstract and Keywords
  • How to Cite this Article
  • {} BibTeX Source

Abstract: The robustness of the security algorithm is one of the most important properties that determines how difficult it is to break it. Increasing the robustness of the algorithm directly affects the degree of secrecy when it is used for confidential transmission. The paper analyzes the steganographic algorithm Least Significant Bit, represents a method of counteracting the algorithm of the "visual attack" and statistical methods used against stego-containers generated using the LSB algorithm. To prove the increase in resistance, the study used the PSNR index, Chi-square test. The proposed technique involves the use of a uniform distribution and compression method. The paper presents the results of computer experiments demonstrating the effectiveness of the proposed technique.

Keywords: Steganography; steganalysis; visual attack; least significant bit

A. Y. Buchaev, A. G. Mustafaev, V.S. Galyaev and A. M. Bagandov, “Increasing the Steganographic Resistance of the LSB Data Hide Algorithm” International Journal of Advanced Computer Science and Applications(IJACSA), 12(5), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120554

@article{Buchaev2021,
title = {Increasing the Steganographic Resistance of the LSB Data Hide Algorithm},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120554},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120554},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {5},
author = {A. Y. Buchaev and A. G. Mustafaev and V.S. Galyaev and A. M. Bagandov}
}



Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

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