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Elevating Image Steganography: A Fusion of MSB Matching and LSB Substitution for Enhanced Concealment Capabilities

Muhammad Zaman Ali1, Omer Riaz1, Hafiz Muhammad Hasnain2, Waqas Sharif2, Tenvir Ali2, Gyu Sang Choi3,*

1 Department of Information Technology, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan
2 Department of Computer Science, The Islamia University of Bahawalpur, Bahawalpur, 63100, Pakistan
3 School of Computer Science and Engineering, Yeungnam University, Gyeongbuk, 38541, Korea

* Corresponding Author: Gyu Sang Choi. Email: email

(This article belongs to the Special Issue: Multimedia Encryption and Information Security)

Computers, Materials & Continua 2024, 79(2), 2923-2943. https://doi.org/10.32604/cmc.2024.049139

Abstract

In today’s rapidly evolving landscape of communication technologies, ensuring the secure delivery of sensitive data has become an essential priority. To overcome these difficulties, different steganography and data encryption methods have been proposed by researchers to secure communications. Most of the proposed steganography techniques achieve higher embedding capacities without compromising visual imperceptibility using LSB substitution. In this work, we have an approach that utilizes a combination of Most Significant Bit (MSB) matching and Least Significant Bit (LSB) substitution. The proposed algorithm divides confidential messages into pairs of bits and connects them with the MSBs of individual pixels using pair matching, enabling the storage of 6 bits in one pixel by modifying a maximum of three bits. The proposed technique is evaluated using embedding capacity and Peak Signal-to-Noise Ratio (PSNR) score, we compared our work with the Zakariya scheme the results showed a significant increase in data concealment capacity. The achieved results of our work show that our algorithm demonstrates an improvement in hiding capacity from 11% to 22% for different data samples while maintaining a minimum Peak Signal-to-Noise Ratio (PSNR) of 37 dB. These findings highlight the effectiveness and trustworthiness of the proposed algorithm in securing the communication process and maintaining visual integrity.

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Cite This Article

APA Style
Ali, M.Z., Riaz, O., Hasnain, H.M., Sharif, W., Ali, T. et al. (2024). Elevating image steganography: A fusion of MSB matching and LSB substitution for enhanced concealment capabilities. Computers, Materials & Continua, 79(2), 2923-2943. https://doi.org/10.32604/cmc.2024.049139
Vancouver Style
Ali MZ, Riaz O, Hasnain HM, Sharif W, Ali T, Choi GS. Elevating image steganography: A fusion of MSB matching and LSB substitution for enhanced concealment capabilities. Comput Mater Contin. 2024;79(2):2923-2943 https://doi.org/10.32604/cmc.2024.049139
IEEE Style
M.Z. Ali, O. Riaz, H.M. Hasnain, W. Sharif, T. Ali, and G.S. Choi "Elevating Image Steganography: A Fusion of MSB Matching and LSB Substitution for Enhanced Concealment Capabilities," Comput. Mater. Contin., vol. 79, no. 2, pp. 2923-2943. 2024. https://doi.org/10.32604/cmc.2024.049139



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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