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Journals / Gazi University Journal of Science / 2021 / Cilt: 34 - Sayı: 3

Image Steganography-Based GUI Design to Hide Agricultural Data

Serdar SOLAK
Umut ALTINIŞIK
Pages
748–763
Publication Date
2022-11-07
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

In experimental studies, performance analysis was evaluated by comparing various criteria as similarity ratio (Structural Similarity Index Measure, SSIM), stego image quality (Peak Signal-to-Noise Ratio, PSNR) and data hiding capacity (Payload).

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Throughout the ages, safely preserving and transmitting data that have extraordinary importance for humanity has increased its importance with rapid advances in computer technology.
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Key Findings & Data:Steganography stores hidden data within the files, which are unnoticed by third parties, so it provides secure transmission of data to the receiver.
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Conclusion & Impact:In experimental studies, performance analysis was evaluated by comparing various criteria as similarity ratio (Structural Similarity Index Measure, SSIM), stego image quality (Peak Signal-to-Noise Ratio, PSNR) and data hiding capacity (Payload).
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Image steganography · LSB substitution · PVD

Abstract

Throughout the ages, safely preserving and transmitting data that have extraordinary importance for humanity has increased its importance with rapid advances in computer technology. Steganography stores hidden data within the files, which are unnoticed by third parties, so it provides secure transmission of data to the receiver. In this study, a steganography-based GUI design has been carried out, which ensures that the agricultural data is safely stored and communicated to the other party. We used LSB one-bit, two-bit, three-bit substitution and PVD algorithms with GUI for stages of agricultural data hiding and extracting at cover images. We also provided extra security using the embedded key and shifting operations on the hidden data before hiding data the cover image. In short, we confused the hidden data in the cover image so that malicious people can't understand. In experimental studies, performance analysis was evaluated by comparing various criteria as similarity ratio (Structural Similarity Index Measure, SSIM), stego image quality (Peak Signal-to-Noise Ratio, PSNR) and data hiding capacity (Payload).

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Cite This Article

SOLAK, S., ALTINIŞIK, U. (2022). Image Steganography-Based GUI Design to Hide Agricultural Data. Gazi University Journal of Science, Cilt: 34 - Sayı: 3, 748–763. https://ajindex.com/articles/650879

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