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Advancements in Spatial Domain Image Steganography: Techniques, Applications, and Future Outlook
- 1 Aberdeen Institute of Data Science and Artificial Intelligence, South China Normal University, Guangzhou, China
* Author to whom correspondence should be addressed.
Abstract
Image steganography, a technique for transmitting secret information hidden within images over public networks undetected, serves as a discreet alternative to cryptography in the field of information security. This article explores new steganography techniques based on the Least Significant Bit (LSB) method, widely recognized for its simplicity in embedding secret data by altering the least significant bit of pixels in the spatial domain. The performance of these LSB-based methods is critically assessed using criteria such as Peak Signal-to-Noise Ratio (PSNR), embedding capacity, and histogram analysis. A comprehensive review of recent literature provides a foundation for this evaluation, highlighting advancements and identifying areas for future improvement. Additionally, the article discusses practical applications of LSB-based steganography in healthcare, government operations, and cloud storage, suggesting directions for further research and development in this subtly powerful area of data security.
Keywords
Data hiding, image steganography, LSB.
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Cite this article
Ye,J. (2024). Advancements in Spatial Domain Image Steganography: Techniques, Applications, and Future Outlook. Applied and Computational Engineering,94,6-19.
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The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of CONF-MLA 2024 Workshop: Securing the Future: Empowering Cyber Defense with Machine Learning and Deep Learning
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