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DOI: 10.14569/IJACSA.2021.0120659
PDF

A Proposal to Improve the Bit Plane Steganography based on the Complexity Calculation Technique

Author 1: Cho Do Xuan

International Journal of Advanced Computer Science and Applications(IJACSA), Volume 12 Issue 6, 2021.

  • Abstract and Keywords
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Abstract: The video steganography technique is being studied and applied a lot today because of its benefits. In particular, the video steganography technique using Bit-Plane Complexity Segmentation (BPCS) has increasingly proven its effectiveness compared to other methods. In this paper, based on the theoretical basis of the BPCS method, we propose a new method to improve the efficiency of the steganography process. Accordingly, our improvement proposal in this paper is improving the complexity formula of the bit planes. Our new formula not only has improved the steganographic thresholds in the bit planes to find more planes hiding secret information, but also has ensured the amount of information hidden in the video and their safety. The experimental results in the paper have not only demonstrated the effectiveness of our proposed method but also provided a new mechanism for digital image analysis in general and video steganography techniques in particular.

Keywords: Steganography; video steganography technique; bit-plane complexity segmentation (BPCS); complexity formula

Cho Do Xuan, “A Proposal to Improve the Bit Plane Steganography based on the Complexity Calculation Technique” International Journal of Advanced Computer Science and Applications(IJACSA), 12(6), 2021. http://dx.doi.org/10.14569/IJACSA.2021.0120659

@article{Xuan2021,
title = {A Proposal to Improve the Bit Plane Steganography based on the Complexity Calculation Technique},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2021.0120659},
url = {http://dx.doi.org/10.14569/IJACSA.2021.0120659},
year = {2021},
publisher = {The Science and Information Organization},
volume = {12},
number = {6},
author = {Cho Do Xuan}
}



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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