Computational intelligence in steganalysis environment
This paper presents gives a consolidated view of digital media steganalysis from the perspective of computational intelligence (CI). The environment of digital media steganalysis can be divided into three (3)domains which are image steganalysis, audio steganalysis, and video steganalysis. Three (3)...
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2008
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my.uum.repo.101492014-03-16T03:16:56Z http://repo.uum.edu.my/10149/ Computational intelligence in steganalysis environment Din, Roshidi Samsudin, Azman QA76 Computer software This paper presents gives a consolidated view of digital media steganalysis from the perspective of computational intelligence (CI). The environment of digital media steganalysis can be divided into three (3)domains which are image steganalysis, audio steganalysis, and video steganalysis. Three (3) major methods have also been identified in the computational intelligence based on these steganalysis domains which are bayesian, neural network, and genetic algorithm. Each of these methods has pros and cons. Therefore, it depends on the steganalyst to use and choose a suitable method based on their purposes and its environment. 2008 Conference or Workshop Item PeerReviewed application/pdf en http://repo.uum.edu.my/10149/1/9.pdf Din, Roshidi and Samsudin, Azman (2008) Computational intelligence in steganalysis environment. In: 7th WSEAS International Conference on Information Security and Privacy, Cairo, Egypt, December 29-31, 2008. http://www.wseas.org/cms.action?id=3930 |
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QA76 Computer software Din, Roshidi Samsudin, Azman Computational intelligence in steganalysis environment |
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This paper presents gives a consolidated view of digital media steganalysis from the perspective of computational intelligence (CI). The environment of digital media steganalysis can be divided into three (3)domains which are image steganalysis, audio steganalysis, and video steganalysis. Three (3) major methods have also been identified in the computational intelligence based on these steganalysis domains which are bayesian, neural network, and genetic algorithm. Each of these methods has pros and cons. Therefore, it depends on the steganalyst to use and choose a suitable method based on their purposes and its environment. |
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Conference or Workshop Item |
author |
Din, Roshidi Samsudin, Azman |
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Din, Roshidi Samsudin, Azman |
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Din, Roshidi |
title |
Computational intelligence in steganalysis environment |
title_short |
Computational intelligence in steganalysis environment |
title_full |
Computational intelligence in steganalysis environment |
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Computational intelligence in steganalysis environment |
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Computational intelligence in steganalysis environment |
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computational intelligence in steganalysis environment |
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2008 |
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http://repo.uum.edu.my/10149/1/9.pdf http://repo.uum.edu.my/10149/ http://www.wseas.org/cms.action?id=3930 |
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