Optimize Image Steganography Based on Distinction Disparity Value and HMPSO to Ensure Confidentiality and Integrity
To secure the massive amounts of secret messages, the integrity and confidentiality challenges must be addressed. Pressing challenges in the context of a steganography system include security, imperceptibility, and capacity issues. There are trade-offs between payload and security that have been neg...
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| Format: | Article |
| Language: | English |
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Wiley
2024-01-01
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| Series: | Journal of Computer Networks and Communications |
| Online Access: | http://dx.doi.org/10.1155/2024/2516567 |
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| _version_ | 1841564443372158976 |
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| author | Ali Salem Ali Suray Alsamaraee Aya Ayad Hussein |
| author_facet | Ali Salem Ali Suray Alsamaraee Aya Ayad Hussein |
| author_sort | Ali Salem Ali |
| collection | DOAJ |
| description | To secure the massive amounts of secret messages, the integrity and confidentiality challenges must be addressed. Pressing challenges in the context of a steganography system include security, imperceptibility, and capacity issues. There are trade-offs between payload and security that have been neglected by researchers, as fixing one issue has been indicated to affect the other, and vice versa. To overcome these challenges, a new steganography scheme based on HMPSO and DDV was introduced. The HMPSO is short for Hénon map and particle swarm optimization, while DDV is short for distinction disparity value. The proposed scheme consisted of four phases with different contributions. The first phase was used to preprocess the secret messages and cover images. In this phase, the secret message has been compressed using the Huffman method. The second phase involved the embedding procedure. This phase consists of two different contributions HMPSO and DDV. The HMPSO is responsible for the optimal pixels’ selection. While the DDV is responsible for the embedding process. The third phase involves the extraction method. In extraction, the reverse processes of the previous steps are implemented. Different evaluation parameters have been used to validate and test the proposed scheme such as SSIM, PSNR, HVS, Histogram analysis, and chi-square test. Based on the findings, the proposed scheme has solved the confidentiality and integrity challenges and provides a robust steganography system. |
| format | Article |
| id | doaj-art-16824cd8cff6427985a4eacd0a5e2c67 |
| institution | Kabale University |
| issn | 2090-715X |
| language | English |
| publishDate | 2024-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Journal of Computer Networks and Communications |
| spelling | doaj-art-16824cd8cff6427985a4eacd0a5e2c672025-01-02T22:39:43ZengWileyJournal of Computer Networks and Communications2090-715X2024-01-01202410.1155/2024/2516567Optimize Image Steganography Based on Distinction Disparity Value and HMPSO to Ensure Confidentiality and IntegrityAli Salem Ali0Suray Alsamaraee1Aya Ayad Hussein2Department of Network Engineering and Cyber SecurityDepartment of Computer EngineeringDepartment of Network Engineering and Cyber SecurityTo secure the massive amounts of secret messages, the integrity and confidentiality challenges must be addressed. Pressing challenges in the context of a steganography system include security, imperceptibility, and capacity issues. There are trade-offs between payload and security that have been neglected by researchers, as fixing one issue has been indicated to affect the other, and vice versa. To overcome these challenges, a new steganography scheme based on HMPSO and DDV was introduced. The HMPSO is short for Hénon map and particle swarm optimization, while DDV is short for distinction disparity value. The proposed scheme consisted of four phases with different contributions. The first phase was used to preprocess the secret messages and cover images. In this phase, the secret message has been compressed using the Huffman method. The second phase involved the embedding procedure. This phase consists of two different contributions HMPSO and DDV. The HMPSO is responsible for the optimal pixels’ selection. While the DDV is responsible for the embedding process. The third phase involves the extraction method. In extraction, the reverse processes of the previous steps are implemented. Different evaluation parameters have been used to validate and test the proposed scheme such as SSIM, PSNR, HVS, Histogram analysis, and chi-square test. Based on the findings, the proposed scheme has solved the confidentiality and integrity challenges and provides a robust steganography system.http://dx.doi.org/10.1155/2024/2516567 |
| spellingShingle | Ali Salem Ali Suray Alsamaraee Aya Ayad Hussein Optimize Image Steganography Based on Distinction Disparity Value and HMPSO to Ensure Confidentiality and Integrity Journal of Computer Networks and Communications |
| title | Optimize Image Steganography Based on Distinction Disparity Value and HMPSO to Ensure Confidentiality and Integrity |
| title_full | Optimize Image Steganography Based on Distinction Disparity Value and HMPSO to Ensure Confidentiality and Integrity |
| title_fullStr | Optimize Image Steganography Based on Distinction Disparity Value and HMPSO to Ensure Confidentiality and Integrity |
| title_full_unstemmed | Optimize Image Steganography Based on Distinction Disparity Value and HMPSO to Ensure Confidentiality and Integrity |
| title_short | Optimize Image Steganography Based on Distinction Disparity Value and HMPSO to Ensure Confidentiality and Integrity |
| title_sort | optimize image steganography based on distinction disparity value and hmpso to ensure confidentiality and integrity |
| url | http://dx.doi.org/10.1155/2024/2516567 |
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