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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Online Access: | http://irep.iium.edu.my/1534/ http://irep.iium.edu.my/1534/1/An_Artificial-Intelligence-Based_Approach_for_Audio_Steganography.pdf |
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iium-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 PeerReviewed 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 |
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TK7885 Computer engineering |
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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/ http://irep.iium.edu.my/1534/1/An_Artificial-Intelligence-Based_Approach_for_Audio_Steganography.pdf |
first_indexed |
2023-09-18T20:08:54Z |
last_indexed |
2023-09-18T20:08:54Z |
_version_ |
1777407344558211072 |