The week's pick
Reseach Article
STEGASHIELD – A Multi-Technique Image Steganography for Enhanced Security and Undetectability
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 73 |
| Year of Publication: 2025 |
| Authors: Athira Varma Jayakumar |
10.5120/ijca2025924603
|
Athira Varma Jayakumar . STEGASHIELD – A Multi-Technique Image Steganography for Enhanced Security and Undetectability. International Journal of Computer Applications. 186, 73 ( Mar 2025), 49-56. DOI=10.5120/ijca2025924603
Abstract
Image steganography, the technique of concealing information within digital images, faces challenges in achieving both security and imperceptibility. This paper presents STEGASHIELD, a novel image steganography system that combines diverse techniques to enhance these critical aspects. STEGASHIELD employs random embedding of secret pixels, AES encryption of secret data, and false image embedding to achieve a high level of security. Imperceptibility is improved through new algorithms for optimal seed and position calculation, along with pixel-by-pixel analysis for minimal distortion. To counter histogram attacks, the research introduces a histogram preservation technique that compensates for tonal value losses resulting from secret image embedding. Experimental results demonstrate that STEGASHIELD significantly outperforms the plain LSB method in both imperceptibility and security, as evidenced by improved PSNR values and histogram comparison tests. This research contributes to the field of information hiding by providing a robust steganographic solution that effectively balances the dual requirements of security and undetectability in digital image steganography.
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