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...

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Main Author: Zamani, Mazdak
Format: Thesis
Language:English
Published: 2010
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Online Access:http://eprints.utm.my/id/eprint/847/19/MazdakZamaniPFSKSM2010.pdf
http://eprints.utm.my/id/eprint/847/
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spelling my.utm.8472017-09-20T03:37:30Z http://eprints.utm.my/id/eprint/847/ Genetic based substitution techniques for audio steganography 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 NonPeerReviewed application/pdf en http://eprints.utm.my/id/eprint/847/19/MazdakZamaniPFSKSM2010.pdf Zamani, Mazdak (2010) Genetic based substitution techniques for audio steganography. PhD thesis, Universiti Teknologi Malaysia, Faculty of Computer Science and Information Systems.
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
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
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
publishDate 2010
url http://eprints.utm.my/id/eprint/847/19/MazdakZamaniPFSKSM2010.pdf
http://eprints.utm.my/id/eprint/847/
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score 13.209306