Optimized Cover Selection for Audio Steganography Using Multi-Objective Evolutionary Algorithm
Existing embedding techniques depend on cover audio selected by users. Unknowingly, users may make a poor cover audio selection that is not optimised in its capacity or imperceptibility features, which could reduce the effectiveness of any embedding technique. As a trade-off exists between capacity...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | en |
| Published: |
Universiti Utara Malaysia Press
2023
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| Subjects: | |
| Online Access: | https://repo.uum.edu.my/id/eprint/29403/1/JICT%2022%2002%202023%20255-282.pdf https://repo.uum.edu.my/id/eprint/29403/ https://doi.org/10.32890/jict2023.22.2.5 |
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