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Research & review articles are invited for publication in September 2026 (Vol. 28, Issue 3) || Submission: up to 28th September || Editorial decision: within 48 hrs.

A new steganography technique based on genetic algorithm

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  • A new steganography technique based on genetic algorithm

Shahbaa Mohammed Abdulmaged 1, * and Nadia Mohammed Abdulmaged 2

1 Law Dep. College of Law and Political Science, Al-Iraqia University, Iraq.
2 Computer Dep. College of Education for Pure Science, Ibn-Alhaitham, Baghdad University, Iraq.
 
Research Article
Global Journal of Engineering and Technology Advances, 2023, 16(02), 135–139.
Article DOI: 10.30574/gjeta.2023.16.2.0146
DOI url: https://doi.org/10.30574/gjeta.2023.16.2.0146
Received on 18 June 2023; revised on 04 August 2023; accepted on 07 August 2023
 
As technology grows, it affect our daily lives becomes more penetrating. Our private information may be violated when communications media are used, to achieve information security this paper was based on a new technique of steganography using cryptography, color model and genetic algorithm. First, the secret text was encrypted with the advanced encryption standard (AES) algorithm. Second, the hiding was applied in two stages. First, the cover-image was converted in to the hue saturation intensity (HSI) color model and select one of the models, then divide it into a group of blocks and hiding the text in them by using least significant bit (LSB) method on specified bytes randomly, then using the genetic algorithm that calculates peak signal-to-noise-ratio (PSNR) for all blocks after the hiding process and thus obtain the best value for PSNR for the optimal block. Second, includes the final hiding of all blocks based on the results of the first stage of the best random distribution of bytes according to the results of the genetic algorithm.
The PSNR and mean square error (MSE) measures were adopted to prove the accuracy and efficiency of the results.
 
Steganography; Cryptography; Color model; Genetic algorithm
 
https://gjeta.com/sites/default/files/fulltext_pdf/GJETA-2023-0146.pdf

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Shahbaa Mohammed Abdulmaged and Nadia Mohammed Abdulmaged. A new steganography technique based on genetic algorithm. Global Journal of Engineering and Technology Advances, 2023, 16(2), 135-139. Article DOI: https://doi.org/10.30574/gjeta.2023.16.2.0146

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