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https://ptsldigital.ukm.my/jspui/handle/123456789/513323Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | Mohd Rosmadi Mokhtar, Dr. | - |
| dc.contributor.author | Ahmed Hussain Ali (P72284) | - |
| dc.date.accessioned | 2023-10-16T04:35:31Z | - |
| dc.date.available | 2023-10-16T04:35:31Z | - |
| dc.date.issued | 2018-04-27 | - |
| dc.identifier.other | ukmvital:100136 | - |
| dc.identifier.uri | https://ptsldigital.ukm.my/jspui/handle/123456789/513323 | - |
| dc.description | Securing confidential information over an unsecured communication channel or environment while preserving privacy has become an essential aspect in today’s digital world. Cryptography and information hiding algorithms like steganography and watermarking are the most commonly adopted solutions for the issues of data confidentiality. While cryptography distorts the secret information into unreadable texts or files, steganography conceals the secret information in different covers of different types such as text, image, audio, video, and network protocol. For that reason, the main goal of steganography is to generate stego files with three opposing features in terms of hiding capacity, transparency, and robustness. However, achieving all these features at the same time is a challenging process since they are contradictory. Therefore, the purpose of this study is to improve audio steganography performance by considering the related requirements. This is done by adopting the Design Science Research Methodology guidelines as the main research methodology. In achieving this, four objectives have been placed. The first objective is to identify an applicable compression technique that can produce a high compression ratio and acceptable audio file. The second objective of this study is to increase the hiding capacity and preserve the transparency of the stego audio by developing a cover-secret mapping algorithm based on fractal coding. The third objective is to maintain the tradeoff between robustness and transparency by developing an embedding algorithm in the time and transform domains based on the least significant bit and uniform coefficient modulation, respectively with the chaotic function. Lastly, the final objective is to propose a new audio steganography model that simultaneously adjusts the requirements based on the two proposed algorithms. The performance of the proposed model is evaluated by conducting a group of experiments using the GTZAN dataset. Objective evaluation is used to assess the achieved hiding capacity, transparency, and robustness under signal processing attacks. Statistical steganalysis is also used to evaluate the statistical transparency and the robustness of the generated stego audio using histogram and fourth first moment steganalysis. The empirical findings show that the fractal coding can be used as a compression technique and applied directly on the audio file with a compression ratio of up to 90% with an acceptable quality of the compressed audio file PSNR of 39 dB on average. The hiding capacity is improved by 30% in the time and transform domains in comparison with similar techniques. At the same time, the transparency in terms of SNR is preserved at around 70 and 50 dB in the time and transform domains, respectively. Furthermore, the proposed model has been shown to withstand brute-force attack with an ample amount of hiding possibilities. Moreover, the results also expose the robustness against the following attacks: histogram error ratio around 0.1 and statistical analysis using fourth first moment with a maximum difference of less than 0.01% in the time and transform domains, additive white Gaussian noise with 70 dB, echo addition with decay of 5% delay in 50ms, and cropping with 3% of the stego audio size. These results signify that the proposed model and the two algorithms have notably enhanced the hiding capacity of audio steganography with an acceptable transparency and robustness rate.,Certification on Master's/Doctoral Thesis" is not available | - |
| dc.language.iso | eng | - |
| dc.publisher | UKM, Bangi | - |
| dc.relation | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | - |
| dc.rights | UKM | - |
| dc.subject | Computer networks -- Security measures | - |
| dc.title | A high capacity audio steganography model based on fractal coding | - |
| dc.type | Theses | - |
| dc.format.pages | 201 | - |
| dc.identifier.callno | TK5105.59A443 2018 3 tesis | - |
| Appears in Collections: | Faculty of Information Science and Technology / Fakulti Teknologi dan Sains Maklumat | |
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| File | Description | Size | Format | |
|---|---|---|---|---|
| ukmvital_100136+SOURCE1+SOURCE1.0.PDF Restricted Access | 409.48 kB | Adobe PDF |  View/Open |
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