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An artificial-intelligence-based approach for audio steganography

This paper presents a novel, principled approach to resolve the remained problems of substitution technique of audio steganography. Using the proposed genetic algorithm, message bits are embedded into multiple, vague and higher LSB layers, resulting in increased robustness. The robustness specially...

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Main Authors: Zamani, Mazdak, Taherdoost, Hamed, Abdul Manaf, Azizah, Ahmad, Rabiah, Zeki, Akram M.
Format: Article
Language:English
Published: MASAUM Network 2009
Subjects:
TK7885 Computer engineering
Online Access:http://irep.iium.edu.my/1534/1/An_Artificial-Intelligence-Based_Approach_for_Audio_Steganography.pdf
http://irep.iium.edu.my/1534/
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spelling my.iium.irep.15342016-12-19T09:40:40Z http://irep.iium.edu.my/1534/ An artificial-intelligence-based approach for audio steganography Zamani, Mazdak Taherdoost, Hamed Abdul Manaf, Azizah Ahmad, Rabiah Zeki, Akram M. TK7885 Computer engineering This paper presents a novel, principled approach to resolve the remained problems of substitution technique of audio steganography. Using the proposed genetic algorithm, message bits are embedded into multiple, vague and higher LSB layers, resulting in increased robustness. The robustness specially would be increased against those intentional attacks which try to reveal the hidden message and also some unintentional attacks like noise addition as well. MASAUM Network 2009 Article REM application/pdf en http://irep.iium.edu.my/1534/1/An_Artificial-Intelligence-Based_Approach_for_Audio_Steganography.pdf Zamani, Mazdak and Taherdoost, Hamed and Abdul Manaf, Azizah and Ahmad, Rabiah and Zeki, Akram M. (2009) An artificial-intelligence-based approach for audio steganography. MASAUM Journal of Open in Science and Engineering, 1 (1). pp. 64-68. ISSN 2077-1118
institution Universiti Islam Antarabangsa Malaysia
building IIUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider International Islamic University Malaysia
content_source IIUM Repository (IREP)
url_provider http://irep.iium.edu.my/
language English
topic TK7885 Computer engineering
spellingShingle TK7885 Computer engineering
Zamani, Mazdak
Taherdoost, Hamed
Abdul Manaf, Azizah
Ahmad, Rabiah
Zeki, Akram M.
An artificial-intelligence-based approach for audio steganography
description This paper presents a novel, principled approach to resolve the remained problems of substitution technique of audio steganography. Using the proposed genetic algorithm, message bits are embedded into multiple, vague and higher LSB layers, resulting in increased robustness. The robustness specially would be increased against those intentional attacks which try to reveal the hidden message and also some unintentional attacks like noise addition as well.
format Article
author Zamani, Mazdak
Taherdoost, Hamed
Abdul Manaf, Azizah
Ahmad, Rabiah
Zeki, Akram M.
author_facet Zamani, Mazdak
Taherdoost, Hamed
Abdul Manaf, Azizah
Ahmad, Rabiah
Zeki, Akram M.
author_sort Zamani, Mazdak
title An artificial-intelligence-based approach for audio steganography
title_short An artificial-intelligence-based approach for audio steganography
title_full An artificial-intelligence-based approach for audio steganography
title_fullStr An artificial-intelligence-based approach for audio steganography
title_full_unstemmed An artificial-intelligence-based approach for audio steganography
title_sort artificial-intelligence-based approach for audio steganography
publisher MASAUM Network
publishDate 2009
url http://irep.iium.edu.my/1534/1/An_Artificial-Intelligence-Based_Approach_for_Audio_Steganography.pdf
http://irep.iium.edu.my/1534/
_version_ 1643604805614043136
score 13.154905

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