Steganography based on utilizing more surrounding pixels

The purpose of this study is to investigate the application of least significant bit insertion method (LSB) in concealing a definite amount of message bits inside a typical media such as an 8-bit gray-scale image and develop an alternative model structure selection algorithm based on considering mor...

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Main Author:	Afrakhteh, Masoud
Format:	Thesis
Language:	English
Published:	2010
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/11093/6/MasoudAfrakhtehMFSKSM2010.pdf
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id	my-utm-ep.11093
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spelling	my-utm-ep.110932017-09-26T07:26:56Z Steganography based on utilizing more surrounding pixels 2010-03 Afrakhteh, Masoud QA75 Electronic computers. Computer science The purpose of this study is to investigate the application of least significant bit insertion method (LSB) in concealing a definite amount of message bits inside a typical media such as an 8-bit gray-scale image and develop an alternative model structure selection algorithm based on considering more surrounding pixels in order to compute the best capacity value for each target pixel. Conventional LSB method’s concept is used as the benchmark for the proposed algorithms. A model structure selection based on not choosing selected pixels as immediate neighbors of the target pixel is proposed in this study to reduce image’s distortion made by embedding random bits or in other words to get a higher imperceptibility. The imperceptibility measures used for evaluation are called peak signal to noise ratio (PSNR), Watson metric and Universal quality index (Q). Previous algorithms utilize at most four (4) out of eight (8) surrounding pixels as multiple based notational system (MBNS) uses three (3) pixels. The effect of considering the rest of surrounding pixels on the performance of the developed model is studied and the effectiveness and shortcomings are highlighted. Results are compared between MBNS, Adaptive and Fixed methods. It is discovered that with similar number of payloads, in most cases, the proposed methods perform better than MBNS in terms of exploring better imperceptibility in predicting more accurate capacity of each target pixel. In addition, the use of pseudo random numbers generator (PRNG) considered for finding the walk path through the image using a stego key and a seed number to provide needed security. Furthermore, the method is proved to be robust against one of the common attacks to stego-images known as Chi-squared attack. 2010-03 Thesis http://eprints.utm.my/id/eprint/11093/ http://eprints.utm.my/id/eprint/11093/6/MasoudAfrakhtehMFSKSM2010.pdf application/pdf en public masters Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems Faculty of Computer Science and Information System
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	QA75 Electronic computers Computer science
spellingShingle	QA75 Electronic computers Computer science Afrakhteh, Masoud Steganography based on utilizing more surrounding pixels
description	The purpose of this study is to investigate the application of least significant bit insertion method (LSB) in concealing a definite amount of message bits inside a typical media such as an 8-bit gray-scale image and develop an alternative model structure selection algorithm based on considering more surrounding pixels in order to compute the best capacity value for each target pixel. Conventional LSB method’s concept is used as the benchmark for the proposed algorithms. A model structure selection based on not choosing selected pixels as immediate neighbors of the target pixel is proposed in this study to reduce image’s distortion made by embedding random bits or in other words to get a higher imperceptibility. The imperceptibility measures used for evaluation are called peak signal to noise ratio (PSNR), Watson metric and Universal quality index (Q). Previous algorithms utilize at most four (4) out of eight (8) surrounding pixels as multiple based notational system (MBNS) uses three (3) pixels. The effect of considering the rest of surrounding pixels on the performance of the developed model is studied and the effectiveness and shortcomings are highlighted. Results are compared between MBNS, Adaptive and Fixed methods. It is discovered that with similar number of payloads, in most cases, the proposed methods perform better than MBNS in terms of exploring better imperceptibility in predicting more accurate capacity of each target pixel. In addition, the use of pseudo random numbers generator (PRNG) considered for finding the walk path through the image using a stego key and a seed number to provide needed security. Furthermore, the method is proved to be robust against one of the common attacks to stego-images known as Chi-squared attack.
format	Thesis
qualification_level	Master's degree
author	Afrakhteh, Masoud
author_facet	Afrakhteh, Masoud
author_sort	Afrakhteh, Masoud
title	Steganography based on utilizing more surrounding pixels
title_short	Steganography based on utilizing more surrounding pixels
title_full	Steganography based on utilizing more surrounding pixels
title_fullStr	Steganography based on utilizing more surrounding pixels
title_full_unstemmed	Steganography based on utilizing more surrounding pixels
title_sort	steganography based on utilizing more surrounding pixels
granting_institution	Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems
granting_department	Faculty of Computer Science and Information System
publishDate	2010
url	http://eprints.utm.my/id/eprint/11093/6/MasoudAfrakhtehMFSKSM2010.pdf
_version_	1747814808915279872

Steganography based on utilizing more surrounding pixels

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