International Journal of

ADVANCED AND APPLIED SCIENCES

EISSN: 2313-3724, Print ISSN: 2313-626X

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 Volume 11, Issue 8 (August 2024), Pages: 57-65

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 Original Research Paper

Exposing the most match parity bit approach (MMPB-A) for data concealment in digital images

 Author(s): 

 Kaznah Alshammari *

 Affiliation(s):

 Department of Information Technology, Faculty of Computing and Information Technology, Northern Border University, Rafha 91911, Saudi Arabia

 Full text

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 * Corresponding Author. 

  Corresponding author's ORCID profile: https://orcid.org/0009-0000-0741-1732

 Digital Object Identifier (DOI)

 https://doi.org/10.21833/ijaas.2024.08.007

 Abstract

Steganography was originally developed to hide and transmit sensitive information. One major advancement in this field is the ability to hide data within digital images. Significant progress has been made, demonstrating effective methods for concealing data. Various techniques have been used, including statistical steganography, distortion techniques, and the Discrete Cosine Transform (DCT). However, the Least Significant Bit (LSB) method is particularly important and remains the most widely used. Researchers have developed methods based on these principles, such as pseudorandom permutation. This paper introduces the Most Match Parity Bit Approach (MMPB-A), which is based on the LSB method. MMPB-A strategically identifies the parity bits of selected pixels to embed information in cover images. It uses a six-bit encryption for each symbol, allowing ample space to hide information while preserving similarity and secrecy. Additionally, encoding hidden data indices in a three-bit code enhances data concealment and ensures greater confidentiality.

 © 2024 The Authors. Published by IASE.

 This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

 Keywords

 Steganography, Least significant bit, Digital image concealment, Most match parity bit approach, Confidentiality

 Article history

 Received 23 March 2024, Received in revised form 22 July 2024, Accepted 26 July 2024

 Funding 

This work is supported by the Deanship of Scientific Research, Northern Border University, Arar, Kingdom of Saudi Arabia, under grant number “NBU-FFR-2024-2467-01.”

 Acknowledgment 

The author extends their appreciation to the Deanship of Scientific Research at Northern Border University, Arar, Kingdom of Saudi Arabia, for funding this research work through project number “NBU-FFR-2024-2467-01.”

 Compliance with ethical standards

 Conflict of interest: The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.

 Citation:

 Alshammari K (2024). Exposing the most match parity bit approach (MMPB-A) for data concealment in digital images. International Journal of Advanced and Applied Sciences, 11(8): 57-65

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 Figures

 Fig. 1 Fig. 2 Fig. 3 Fig. 4 Fig. 5 Fig. 6 Fig. 7 Fig. 8 Fig. 9 Fig. 10 

 Tables

 Table 1 Table 2 Table 3

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