Genetic based substitution techniques for audio steganography

Steganography is a form of security technique through obscurity; the science and art of hiding the existence of a message between sender and intended recipient. Steganography has been used to hide secret messages in various types of files, including digital images, audio and video. The three most im...

Full description

Saved in:

Bibliographic Details
Main Author:	Zamani, Mazdak
Format:	Thesis
Language:	English
Published:	2010
Subjects:	QA75 Electronic computers Computer science
Online Access:	http://eprints.utm.my/id/eprint/847/19/MazdakZamaniPFSKSM2010.pdf
Tags:	Add Tag No Tags, Be the first to tag this record!

id	my-utm-ep.847
record_format	uketd_dc
spelling	my-utm-ep.8472017-09-20T03:37:30Z Genetic based substitution techniques for audio steganography 2010-12 Zamani, Mazdak QA75 Electronic computers. Computer science Steganography is a form of security technique through obscurity; the science and art of hiding the existence of a message between sender and intended recipient. Steganography has been used to hide secret messages in various types of files, including digital images, audio and video. The three most important parameters for audio steganography are imperceptibility, payload (bit rate or capacity), and robustness. Any technique which tries to improve the payload or robustness should preserve imperceptibility. The noise which is introduced due to bit modification would limit payload. This research focuses on audio steganography, particularly with respect to Waveform Audio File Format (WAV) files. The Least Significant Bit (LSB) is used as a type of substitution technique. In order to increase the payload and improve the imperceptibility, Genetic Substitution-Based Audio Steganography (GSBAS) was proposed. GSBAS is based on LSB and enhanced with the concept of genetic algorithm. GSBAS is benchmarked against Ordinary Substitution-Based Audio Steganography (OSBAS). The results showed that in comparison with OSBAS, the payload is considerably increased and Peak Signal-Noise Ratio (PSNR) is noticeably raised. The experiments showed that GSBAS gives promising result with high average payload and imperceptibility. 2010-12 Thesis http://eprints.utm.my/id/eprint/847/ http://eprints.utm.my/id/eprint/847/19/MazdakZamaniPFSKSM2010.pdf application/pdf en public phd doctoral 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 Zamani, Mazdak Genetic based substitution techniques for audio steganography
description	Steganography is a form of security technique through obscurity; the science and art of hiding the existence of a message between sender and intended recipient. Steganography has been used to hide secret messages in various types of files, including digital images, audio and video. The three most important parameters for audio steganography are imperceptibility, payload (bit rate or capacity), and robustness. Any technique which tries to improve the payload or robustness should preserve imperceptibility. The noise which is introduced due to bit modification would limit payload. This research focuses on audio steganography, particularly with respect to Waveform Audio File Format (WAV) files. The Least Significant Bit (LSB) is used as a type of substitution technique. In order to increase the payload and improve the imperceptibility, Genetic Substitution-Based Audio Steganography (GSBAS) was proposed. GSBAS is based on LSB and enhanced with the concept of genetic algorithm. GSBAS is benchmarked against Ordinary Substitution-Based Audio Steganography (OSBAS). The results showed that in comparison with OSBAS, the payload is considerably increased and Peak Signal-Noise Ratio (PSNR) is noticeably raised. The experiments showed that GSBAS gives promising result with high average payload and imperceptibility.
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Zamani, Mazdak
author_facet	Zamani, Mazdak
author_sort	Zamani, Mazdak
title	Genetic based substitution techniques for audio steganography
title_short	Genetic based substitution techniques for audio steganography
title_full	Genetic based substitution techniques for audio steganography
title_fullStr	Genetic based substitution techniques for audio steganography
title_full_unstemmed	Genetic based substitution techniques for audio steganography
title_sort	genetic based substitution techniques for audio steganography
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/847/19/MazdakZamaniPFSKSM2010.pdf
_version_	1747814367632556032

Genetic based substitution techniques for audio steganography

Similar Items