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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2009
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| Online Access: | http://eprints.utm.my/id/eprint/13693/ https://www.researchgate.net/publication/282604983_An_Artificial-Intelligence-Based_Approach_for_Audio_Steganography |
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my.utm.136932017-02-13T00:35:42Z http://eprints.utm.my/id/eprint/13693/ An artificial-intelligence-based approach for audio steganography Zamani, Mazdak Taherdoost, Hamed A. Manaf, Azizah B. Ahmad, Rabiah M. Zeki, Akram Q Science (General) 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. 2009-10 Article PeerReviewed Zamani, Mazdak and Taherdoost, Hamed and A. Manaf, Azizah and B. Ahmad, Rabiah and M. Zeki, Akram (2009) An artificial-intelligence-based approach for audio steganography. MASAUM Journal of Open Problems in Science and Engineering, 1 (1). pp. 64-68. https://www.researchgate.net/publication/282604983_An_Artificial-Intelligence-Based_Approach_for_Audio_Steganography |
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Q Science (General) Zamani, Mazdak Taherdoost, Hamed A. Manaf, Azizah B. Ahmad, Rabiah M. Zeki, Akram 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 A. Manaf, Azizah B. Ahmad, Rabiah M. Zeki, Akram |
| author_facet |
Zamani, Mazdak Taherdoost, Hamed A. Manaf, Azizah B. Ahmad, Rabiah M. Zeki, Akram |
| 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 |
| publishDate |
2009 |
| url |
http://eprints.utm.my/id/eprint/13693/ https://www.researchgate.net/publication/282604983_An_Artificial-Intelligence-Based_Approach_for_Audio_Steganography |
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