DCT domain Stegasvm-shifted LSB model for highly imperceptible and robust cover-image / Hanizan Shaker Hussain

The importance of information security in protecting data and information has increased due to the increased use of computers and the Internet. Similarly, with one of its exciting subfields i.e. information hiding. Information hiding is a technology where the secret-messages are hidden inside other...

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Main Author:	Shaker Hussain, Hanizan
Format:	Thesis
Language:	English
Published:	2014
Subjects:	Electronic Computers Computer Science
Online Access:	https://ir.uitm.edu.my/id/eprint/25839/1/TP_HANIZAN%20SHAKER%20HUSSAIN%20CS%2014_5.pdf
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id	my-uitm-ir.25839
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spelling	my-uitm-ir.258392019-09-27T04:09:34Z DCT domain Stegasvm-shifted LSB model for highly imperceptible and robust cover-image / Hanizan Shaker Hussain 2014 Shaker Hussain, Hanizan Electronic Computers. Computer Science The importance of information security in protecting data and information has increased due to the increased use of computers and the Internet. Similarly, with one of its exciting subfields i.e. information hiding. Information hiding is a technology where the secret-messages are hidden inside other files (e.g image files). One of the areas that are popular now applying this technology is digital image steganography (image steganography). In image steganography, the most popular and widely usedtechniques is the least significant bit (LSB) that hide data into a cover-image in a spatial and discrete cosine transform (DCT) domain as well. Beside the LSB technique, there is other technique that is also influential i.e support vector machine (SVM) normally used to strengthen the embedding algorithm. Whatever techniques used in the image steganography field,the main purpose is to keep the existence of the secret-message secret. But many of the techniques previously proposed have failed to attain this main purpose. The primary concern that contribute to this problem is the non-random changes on a cover-image that constantly occurred after the embedding process. Secondly, the non-robustness of embedding algorithm to image processing operation. Therefore in this research, the new model is proposed called StegaSVMShifted LSB model in DCT domain to preserve the imperceptibility and increase the robustness of stego-images. The StegaSVM-Shifted LSB model that has been proposed that utilize HVS and embedding technique through Shifted LSB showed a good performance. This can be seen when PSNR record high value, where it displays a good quality cover-image with 48.94dB while high quality robustness for secretmessage with NC value is about 1.0. Therefore, StegaSVM-Shifted LSB model were acceptable in which it shows a higher quality steganography, thus enhancing the performance of existing works. In extracting process, by exploiting the SVM learning ability, the right secret-bits can be recovered. 2014 Thesis https://ir.uitm.edu.my/id/eprint/25839/ https://ir.uitm.edu.my/id/eprint/25839/1/TP_HANIZAN%20SHAKER%20HUSSAIN%20CS%2014_5.pdf text en public phd doctoral Universiti Teknologi MARA Faculty of Computer and Mathematical Sciences
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
topic	Electronic Computers Computer Science
spellingShingle	Electronic Computers Computer Science Shaker Hussain, Hanizan DCT domain Stegasvm-shifted LSB model for highly imperceptible and robust cover-image / Hanizan Shaker Hussain
description	The importance of information security in protecting data and information has increased due to the increased use of computers and the Internet. Similarly, with one of its exciting subfields i.e. information hiding. Information hiding is a technology where the secret-messages are hidden inside other files (e.g image files). One of the areas that are popular now applying this technology is digital image steganography (image steganography). In image steganography, the most popular and widely usedtechniques is the least significant bit (LSB) that hide data into a cover-image in a spatial and discrete cosine transform (DCT) domain as well. Beside the LSB technique, there is other technique that is also influential i.e support vector machine (SVM) normally used to strengthen the embedding algorithm. Whatever techniques used in the image steganography field,the main purpose is to keep the existence of the secret-message secret. But many of the techniques previously proposed have failed to attain this main purpose. The primary concern that contribute to this problem is the non-random changes on a cover-image that constantly occurred after the embedding process. Secondly, the non-robustness of embedding algorithm to image processing operation. Therefore in this research, the new model is proposed called StegaSVMShifted LSB model in DCT domain to preserve the imperceptibility and increase the robustness of stego-images. The StegaSVM-Shifted LSB model that has been proposed that utilize HVS and embedding technique through Shifted LSB showed a good performance. This can be seen when PSNR record high value, where it displays a good quality cover-image with 48.94dB while high quality robustness for secretmessage with NC value is about 1.0. Therefore, StegaSVM-Shifted LSB model were acceptable in which it shows a higher quality steganography, thus enhancing the performance of existing works. In extracting process, by exploiting the SVM learning ability, the right secret-bits can be recovered.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Shaker Hussain, Hanizan
author_facet	Shaker Hussain, Hanizan
author_sort	Shaker Hussain, Hanizan
title	DCT domain Stegasvm-shifted LSB model for highly imperceptible and robust cover-image / Hanizan Shaker Hussain
title_short	DCT domain Stegasvm-shifted LSB model for highly imperceptible and robust cover-image / Hanizan Shaker Hussain
title_full	DCT domain Stegasvm-shifted LSB model for highly imperceptible and robust cover-image / Hanizan Shaker Hussain
title_fullStr	DCT domain Stegasvm-shifted LSB model for highly imperceptible and robust cover-image / Hanizan Shaker Hussain
title_full_unstemmed	DCT domain Stegasvm-shifted LSB model for highly imperceptible and robust cover-image / Hanizan Shaker Hussain
title_sort	dct domain stegasvm-shifted lsb model for highly imperceptible and robust cover-image / hanizan shaker hussain
granting_institution	Universiti Teknologi MARA
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2014
url	https://ir.uitm.edu.my/id/eprint/25839/1/TP_HANIZAN%20SHAKER%20HUSSAIN%20CS%2014_5.pdf
_version_	1783733876266369024

DCT domain Stegasvm-shifted LSB model for highly imperceptible and robust cover-image / Hanizan Shaker Hussain

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