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September 10, 2025

Information Security Using Image Steganography and Deep Learning

Key Points

The proposed method significantly enhances security and storage efficiency in image steganography.
Performance metrics indicate that the new technique outperforms traditional steganography methods.
The study employs deep learning to achieve better peak signal-to-noise ratio and structural similarity metrics.
This research provides foundational support for future advancements in secure image steganography.

Abstract

The method of hiding information in digital images in a clandestine manner has gained more significance for protecting information in modern-day communication systems. This research proposes a new method for hiding information in images, focusing on higher security, improved storage efficiency, and less disturbance to the accepted image quality measures, such as peak signal-to-noise ratio, structural similarity metrics. The outcomes reveal that the proposed system consistently surpasses traditional techniques in both performance and security. This research contributes a dependable and innovative solution to the domain of covert communication and serves as a strong foundation for advancing future work in secure image steganography.

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Cite This Study

Nandwalkar Bhushan (Wed,) studied this question.

synapsesocial.com/papers/68c1c22554b1d3bfb60ef36a https://doi.org/https://doi.org/10.52783/tjjpt.v46.i03.9615

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