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All Journal IAES International Journal of Artificial Intelligence (IJ-AI)
El Ouaazizi, Aziza
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Computer Science & IT Engineering

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A new deep steganographic technique for hiding several secret images in one cover Htiti, Mohamed; El Ouaazizi, Aziza; Akharraz, Ismail; Ahaitouf, Abdelaziz
IAES International Journal of Artificial Intelligence (IJ-AI) Vol 14, No 3: June 2025
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijai.v14.i3.pp2210-2219

Abstract

Deep learning has been integrated with image steganography to enhance steganographic security by automatically acquiring the ability to hide information. The issue with current models is that if the cover image is accessible, it is possible to expose the hidden information by simply calculating the differences between the cover image and the steganographic image. This paper introduces a novel image steganography model that utilizes convolutional neural network (CNN) to enhance the dissimulation and extraction capabilities. Specifically, we propose a model that hides two images in a single cover image. Before being hidden within the cover image, a random pixel image is generated and combined with the real secret image. Experimental results show that our proposed method is more effective and relevant.
Co-Authors Ahaitouf, Abdelaziz Akharraz, Ismail Htiti, Mohamed