Least significant bit steganography technique using modulus operation with pixel selection derived from K-map and Gaussian elimination

As demand for information exchange across the network increases, so is the need for safe covert communication, which can be achieved using steganography. Many steganography techniques have emerged; however the performance of the techniques rely heavily on three major factors, which are the payload,...

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Main Author: Jaafar, Sayuthi
Format: Thesis
Language:English
Published: 2013
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Online Access:http://eprints.utm.my/id/eprint/33805/5/SayuthiJaafarMFSKSM2013.pdf
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Institution: Universiti Teknologi Malaysia
Language: English
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spelling my.utm.338052017-09-11T07:01:51Z http://eprints.utm.my/id/eprint/33805/ Least significant bit steganography technique using modulus operation with pixel selection derived from K-map and Gaussian elimination Jaafar, Sayuthi QA75 Electronic computers. Computer science As demand for information exchange across the network increases, so is the need for safe covert communication, which can be achieved using steganography. Many steganography techniques have emerged; however the performance of the techniques rely heavily on three major factors, which are the payload, imperceptibility and robustness. These elements are always in trade-off. In this research, a new steganography technique that emphasizes on high imperceptiblity with reasonable embedded capacity is presented. The proposed embedding approach leverages on the LSB substitution technique and neighbourhood operation to precisely determine how much changes is required for each target pixel of host image in terms of its gray scale. Thus, a 9x9 filter called Matrix Distribution Array (MDA) is introduced based on the Karnaugh Map grouping principle to generate nine possible 4-pixel groups for pixels selection. A modulus operation is then performed for each group to obtain a group residue (Res). An initial change of the target pixel value is calculated based on the difference between Res and secret information. Afterwards, the Gaussian Ellimination technique is then applied together with MDA on the change value to obtain a final figure of the change required. Finally, the target pixel is modified and rounded accordingly by subtracting its original gray scale with the change value. The embedding process is repeated until a stego-image is eventually produced, likewise, an extraction process is performed using a similar procedure but in a reverse manner. The experimental results show that the imperceptibility of the proposed method improved significantly by 8% to 16% when tested with fixed embedding capacity ranging from 6 kB to 116 kB as compared to the LSB substitution technique. The result also reveals that the embedding capacity improves up to 50% while maintaining reasonable Peak Signal-to-Noise-Ratio (PSNR) value between 35dB to 40dB. 2013-01 Thesis NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/33805/5/SayuthiJaafarMFSKSM2013.pdf Jaafar, Sayuthi (2013) Least significant bit steganography technique using modulus operation with pixel selection derived from K-map and Gaussian elimination. PhD thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems. http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69951?site_name=Restricted Repository
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic QA75 Electronic computers. Computer science
spellingShingle QA75 Electronic computers. Computer science
Jaafar, Sayuthi
Least significant bit steganography technique using modulus operation with pixel selection derived from K-map and Gaussian elimination
description As demand for information exchange across the network increases, so is the need for safe covert communication, which can be achieved using steganography. Many steganography techniques have emerged; however the performance of the techniques rely heavily on three major factors, which are the payload, imperceptibility and robustness. These elements are always in trade-off. In this research, a new steganography technique that emphasizes on high imperceptiblity with reasonable embedded capacity is presented. The proposed embedding approach leverages on the LSB substitution technique and neighbourhood operation to precisely determine how much changes is required for each target pixel of host image in terms of its gray scale. Thus, a 9x9 filter called Matrix Distribution Array (MDA) is introduced based on the Karnaugh Map grouping principle to generate nine possible 4-pixel groups for pixels selection. A modulus operation is then performed for each group to obtain a group residue (Res). An initial change of the target pixel value is calculated based on the difference between Res and secret information. Afterwards, the Gaussian Ellimination technique is then applied together with MDA on the change value to obtain a final figure of the change required. Finally, the target pixel is modified and rounded accordingly by subtracting its original gray scale with the change value. The embedding process is repeated until a stego-image is eventually produced, likewise, an extraction process is performed using a similar procedure but in a reverse manner. The experimental results show that the imperceptibility of the proposed method improved significantly by 8% to 16% when tested with fixed embedding capacity ranging from 6 kB to 116 kB as compared to the LSB substitution technique. The result also reveals that the embedding capacity improves up to 50% while maintaining reasonable Peak Signal-to-Noise-Ratio (PSNR) value between 35dB to 40dB.
format Thesis
author Jaafar, Sayuthi
author_facet Jaafar, Sayuthi
author_sort Jaafar, Sayuthi
title Least significant bit steganography technique using modulus operation with pixel selection derived from K-map and Gaussian elimination
title_short Least significant bit steganography technique using modulus operation with pixel selection derived from K-map and Gaussian elimination
title_full Least significant bit steganography technique using modulus operation with pixel selection derived from K-map and Gaussian elimination
title_fullStr Least significant bit steganography technique using modulus operation with pixel selection derived from K-map and Gaussian elimination
title_full_unstemmed Least significant bit steganography technique using modulus operation with pixel selection derived from K-map and Gaussian elimination
title_sort least significant bit steganography technique using modulus operation with pixel selection derived from k-map and gaussian elimination
publishDate 2013
url http://eprints.utm.my/id/eprint/33805/5/SayuthiJaafarMFSKSM2013.pdf
http://eprints.utm.my/id/eprint/33805/
http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:69951?site_name=Restricted Repository
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