The process of inserting secret data in any media as pictures, audio, video, text and protocol, also it can be empathy this secret connection is called steganography. At present, the widespread use of internet applications has become a security risk. Steganography is used to overcome this undesirable situation. It shows a significant character in maintaining privacy. Some steganographic techniques modify the image using the spatial domain, transform domain, spread spectrum, statistical method and distortion techniques. This work aims to develop efficient data encryption and decryption technique that provide security of data. In this research exertion, it anticipated an image steganalysis method using various wavelet decomposition, especially using multiwavelet decomposition. First, we decomposed the image using different wavelets and multiwavelets. Then we extracted the more informative parts into wavelet sub-bands as a feature and inserted them into the LL sub-band wavelet decomposed image. The resulting image is sent to the recipient as a signal. The recipient retrieves confidential information through encryption. Finally, by analyzing the actions of different wavelets, we can retrieve the original message through the decryption technique. The multiwavelet technique achieves PSNR of 48.26 - 56.5926 and MSE of 0.1428 - 0.97. The result indicates that multiwavelet provided a good recovery of the secret image quality that led to an increase in the imperceptibility of the system.
| Published in | Advances in Applied Sciences (Volume 7, Issue 2) |
| DOI | 10.11648/j.aas.20220702.12 |
| Page(s) | 27-32 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Decryption, Encryption, Wavelet and Multiwavelet Decomposition, Steganography
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APA Style
Shemanta Kumar Biswas, Redwanul Islam, Md. Rafiqul Islam. (2022). Signal Steganography Using Different Wavelets and Their Comparisons. Advances in Applied Sciences, 7(2), 27-32. https://doi.org/10.11648/j.aas.20220702.12
ACS Style
Shemanta Kumar Biswas; Redwanul Islam; Md. Rafiqul Islam. Signal Steganography Using Different Wavelets and Their Comparisons. Adv. Appl. Sci. 2022, 7(2), 27-32. doi: 10.11648/j.aas.20220702.12
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Download@article{10.11648/j.aas.20220702.12,
author = {Shemanta Kumar Biswas and Redwanul Islam and Md. Rafiqul Islam},
title = {Signal Steganography Using Different Wavelets and Their Comparisons},
journal = {Advances in Applied Sciences},
volume = {7},
number = {2},
pages = {27-32},
doi = {10.11648/j.aas.20220702.12},
url = {https://doi.org/10.11648/j.aas.20220702.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aas.20220702.12},
abstract = {The process of inserting secret data in any media as pictures, audio, video, text and protocol, also it can be empathy this secret connection is called steganography. At present, the widespread use of internet applications has become a security risk. Steganography is used to overcome this undesirable situation. It shows a significant character in maintaining privacy. Some steganographic techniques modify the image using the spatial domain, transform domain, spread spectrum, statistical method and distortion techniques. This work aims to develop efficient data encryption and decryption technique that provide security of data. In this research exertion, it anticipated an image steganalysis method using various wavelet decomposition, especially using multiwavelet decomposition. First, we decomposed the image using different wavelets and multiwavelets. Then we extracted the more informative parts into wavelet sub-bands as a feature and inserted them into the LL sub-band wavelet decomposed image. The resulting image is sent to the recipient as a signal. The recipient retrieves confidential information through encryption. Finally, by analyzing the actions of different wavelets, we can retrieve the original message through the decryption technique. The multiwavelet technique achieves PSNR of 48.26 - 56.5926 and MSE of 0.1428 - 0.97. The result indicates that multiwavelet provided a good recovery of the secret image quality that led to an increase in the imperceptibility of the system.},
year = {2022}
}
TY - JOUR T1 - Signal Steganography Using Different Wavelets and Their Comparisons AU - Shemanta Kumar Biswas AU - Redwanul Islam AU - Md. Rafiqul Islam Y1 - 2022/06/30 PY - 2022 N1 - https://doi.org/10.11648/j.aas.20220702.12 DO - 10.11648/j.aas.20220702.12 T2 - Advances in Applied Sciences JF - Advances in Applied Sciences JO - Advances in Applied Sciences SP - 27 EP - 32 PB - Science Publishing Group SN - 2575-1514 UR - https://doi.org/10.11648/j.aas.20220702.12 AB - The process of inserting secret data in any media as pictures, audio, video, text and protocol, also it can be empathy this secret connection is called steganography. At present, the widespread use of internet applications has become a security risk. Steganography is used to overcome this undesirable situation. It shows a significant character in maintaining privacy. Some steganographic techniques modify the image using the spatial domain, transform domain, spread spectrum, statistical method and distortion techniques. This work aims to develop efficient data encryption and decryption technique that provide security of data. In this research exertion, it anticipated an image steganalysis method using various wavelet decomposition, especially using multiwavelet decomposition. First, we decomposed the image using different wavelets and multiwavelets. Then we extracted the more informative parts into wavelet sub-bands as a feature and inserted them into the LL sub-band wavelet decomposed image. The resulting image is sent to the recipient as a signal. The recipient retrieves confidential information through encryption. Finally, by analyzing the actions of different wavelets, we can retrieve the original message through the decryption technique. The multiwavelet technique achieves PSNR of 48.26 - 56.5926 and MSE of 0.1428 - 0.97. The result indicates that multiwavelet provided a good recovery of the secret image quality that led to an increase in the imperceptibility of the system. VL - 7 IS - 2 ER -
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